Speakers


Iya Khalil

Global Head, AI Innocation Center,
Novartis.

Heena Raval

Director - Corporate Engineering,
Google, Hyderabad, India.

Heena is a Director in CorpEng where she leads tools engineering and intelligent automation for Googler productivity.
She has 22+ years of experience in building enterprise products at companies like Broadcom, Microsoft, ABB, GE and L&T. Over the last few years, she has set up ML / AI teams grounds up and successfully taken innovation from lab & scaled it into products for Sales and Operational Intelligence.
She believes her career is built on change and obsession with creating value for users & transforming businesses. Heena is an active DEI champion both within Google and externally. Outside of work, she enjoys yoga, mountaineering and is involved with entrepreneurial growth. She is married to Hari and has two boys - Alay and Aran.

Goda Ramkumar

Principal Data Scientist,
Swiggy.

Goda Ramkumar ranked as one of "Top 10 Data Scientists in India" by Analytics India Magazine in 2018, is currently Principal Data Scientist at Swiggy focusing on core logistics. Prior to this, she was GM, Data Science at xto10x establishing data science journey and practice in the start-up ecosystem. Previously she was at Ola for 2 years as Principal Data Scientist where she lead the machine learning and optimization algorithms behind pricing and matching. She worked at Sabre for 10 years before Ola on a variety of problems in Airline Pricing and Revenue Management. She has several publications and presentations in industry journals and academic conferences. She holds an undergraduate and masters degree from IIT Madras.

Dr. Madalasa Venkataraman

Director, Data science,
Oracle.

Madalasa leads the data science team for Oracle's flagship product in the marketing space, Unity. With nearly two decades of experience, she has led highly talented data science teams on complex and interesting problems .A Doctorate from IIM Bangalore in Finance, she is passionate about academic teaching and research. Madhu’s interests are primarily in using data and a good dose of common sense to solve real world issues- across corporate, government and not-for-profit sectors. Her current interests are in intelligent behavioural prediction systems, trend detection from streaming data, hyper-personalisation in enterprise scale deployments that are privacy preserving and ethically aware.
Madhu is involved with various universities as a visiting faculty, mentor/ advisor for PhD candidates and also as a data science advisor in the start-up ecosystem.

Deepthi Sharma

Director, Data Science and Engineering,
Walmart Labs.

As Director of Data Science and Engineering at Walmart Labs, I lead the data science teams in US Technology with a focus on Personalisation and Health & Wellness. Our teams are invested in some very interesting ML solutions that directly impact our customers online and in US stores.
In my fifteen years of experience, I’ve helped build production-grade technology products and led machine-learning and engineering teams at best in class companies.
Working at various industries has empowered me with knowledge in eCommerce, Ad Tech and desktop consumer software. My key focus has been to deliver results in multifunctional teams and build large-scale machine-learning models, products, and APIs
In 2014, I ventured into retail tech and founded a successful start-up, fashiate that was acquired by Snapdeal. In the subsequent years, my interest in blockchain tech led me to co-found Trailchain, a blockchain-based product platform.
During my tenure in Snapdeal, Yahoo Labs and Adobe Systems, I worked with several programming languages and technologies including C++, Python, Perl, Hadoop and REST APIs.
I’m always keen to make new professional acquaintances and would be delighted to connect over tech innovations!.

Mathangi Sri

Head of Data - GoFood
Gojek.

Mathangi is a renowned data science leader in India. She has 11 Patent grants and 20+ patents published in the area of intuitive customer experience, indoor positioning and user profiles. She has 16+ years of proven track record in building world-class data sciences solutions and products. She is adept in machine learning, text mining NLP technologies & tools. She has built data sciences teams across large organizations like Citibank, HSBC, GE and tech startups like 247.ai, PhonePe, Gojek. She advises start-ups, enterprises and venture capitalists on Data Science strategy and roadmap. She is an active contributor on machine learning to many premier institutes in India. She is recognized as one of “The Phenomenal SHE” by Indian National Bar Association in 2019.

Parul Pandey

Data Scientist,
H2O.ai.

Parul is currently working as a Data Scientist at H2O.ai. Academically, she is an electrical engineer having previously worked in the field of Power Distribution at Tata Power, India. She is also the founder of a non-profit called Women in Coding & Data Science(WiCDS), whose mission is to support & promote women & gender minorities in data science, machine learning, and AI space. Parul is also a Kaggle Grandmaster in the notebooks category and was one of Linkedin’s Top Voice in the Software Development category in 2019.

Srujana Merugu

Machine Learning Researcher,
Google research & Wadhwani AI.

Srujana is a machine learning researcher (currently consulting with Google research & Wadhwani AI) with a keen interest in platform dynamics, data governance, human behavior, education, healthcare, and financial inclusion. Prior to 2017, she was employed with the machine learning groups at Yahoo Research, IBM Research, Amazon, and Flipkart. Post-2017, she has mostly been involved in consulting engagements with startups in education, health-care, CRM, SaaS, and Fintech domains along with volunteering on social causes. Since March of this year, she has been assisting with the COVID response of a few highly impacted cities and states as part of the COVID-19 Data Science Consortium. She has published her research in several top-tier conferences and journals on machine learning and is the recipient of multiple best paper awards. She received her M.S. and Ph.D. from the University of Texas at Austin and her B. Tech. degree from IIT Madras.

Mily Saxena

CMD
Ogive Technology.

Mily Saxena: CMD Ogive Technology, AuSiRo Labs,Panchahara & Jijivisha Entrepreneur| Researcher| Founder | Technologist | Start-up mentor |Innovator | Revenue Growth Expert | Strategist Global leader with 18 years of experience. Founded three companies Ogive Technology, AuSiRo Labs, providing leading real- world Automation & Simulation products with an additive of Robotics, and Jijivisha is an eCommerce platform. • Served across Public and Private sector, carry functional expertise in multiple segments .Excellence in understanding the cutting edge technologies independently and amalgamating the technologies to deliver the desired intelligent output. • With Product As A Service being the delivery guideline bridging the gap between executive and technical stakeholders is proven. Serving as a growth catalyst and infuse productive energy into the workplace. Developed a framework for developing fast-growing businesses.

Rashmi Metri

Product Specialist,
SLK Software Services Pvt Ltd.

Rashmi is Product Specialist at SLK Software Services Pvt Ltd., Bangalore. With an experience of 9+ years in various roles with major love for data, worked on a spectrum of databases, AI/ML and NLP projects. Certified Advanced Rasa Developer, love creating chatbots and mentoring aspirants on the same.

Aparna Mangari

Global Head of Data Science and Analytical
Novartis.

Aparna Mangari is the Global Head of Data Science and Analytical team for Patient Safety function at Novartis. She is a senior IT management professional with over 23 years of experience across various industries and experienced in implementing global strategic systems integrations and delivering next-generation technical solutions improving ROI and workplace productivity.
In her current role, she is responsible for developing talent and curious, inspired culture and driving data and digital strategy to enhance safety surveillance of a drug and monetize data assets.
Her passion and strengths are to mentor, coach and develop talent. She would like to spend time with her family, gardening and travel during her spare time.

Smita Mohanty

Senior Data Scientist
Novartis.

Background and Interest:
I have always been interested in the application of computer science towards understanding complex biological problems. To that end I did my PhD in Bioinformatics and I have spend a lot of time both in academia & industry building approaches to mine the vast biological datasets to gather meaningful insights.
Current Work:
I am working on varied projects entailing the use of computational approaches like optimization & machine learning to aid in the decision making processes.
Passion and Interests:
I’m passionate about drug discovery and the use of data science in accelerating the discovery of novel targeted therapies. In my free time, I like to read and travel.

Shilpa Parepally

Service Operations Expert
Novartis.

Shilpa Parepally is the Service Operations Expert in Application Management Services group, in Commercial IT division at Novartis. She has a Bachelors Degree in Electronics and Communications Engineering and has over 15 years of experience in IT. Mainly in Service Delivery ,Operations Management, Stakeholder Management, Project Management, Resource and Vendor Management.
Her current role is to manage the portfolio of applications and ensuring non-stop business operations and increasing operational efficiencies.
She is passionate about reading books, continuous learning and taking part of initiatives in the company.

Neeta Korlepara

Senior Group Head,
Regulatory Writing and Submissions

Neeta is a homeopathic physician and also holds a Masters Degree in Regulatory Affairs and Public Health from Massachusetts College of Pharmacy and Health Science. She hails from the Medical Writing community and is currently heading a team of writers that author various documents that are submitted to the Health Authorities to support marketing applications for new drugs.
She is passionate about continuous learnings and is part of various initiatives in the company, as also in different volunteering engagements with NGOs to empower the future minds of our country
With her interest in process simplification, she has veered into AI and NLG processes, and thus her connect with the Data Science community, which in turn has provided a platform for us to get connected

Tripti Kanodia

Field Force Department

Tripti holds an engineering degree from Harcourt Butler Technological Institute, Kanpur. She is currently working with the Field Force Department and has an overall 7.5 years of experience.
In her current role, she works with data for the field force of countries to help them strategize better to help boost the performance of their field force. She also has a passion of constantly learning and thus became a part of the Data Science initiative, to enhance her learning curve and facilitate the same for others.
She eagerly participates in other initiatives of her interest to help boost her overall learning. She has been actively involved with the Rainbow council of the company, to volunteer to educate the children of the society and bring about a substantial change for their future. She spends her free time on reading, movies or traveling around the country.

Dr. Kayal Padmanandam

Associate Professor
BVRITH College of Engineering for Women, Hyderabad, India.

Dr. Kayal Padmanandam has over a decade of credentials in the domain of Computer Science with wide exposure through teaching, research, and industry. She has been appointed as ACM Distinguished Speaker by ACM for Computing Community during the year 2019. She is passionate about research and specialized in Data Science and Machine Learning Algorithms in which she pursued her doctoral research. She has several publications especially related to machine-learning applications. She is a post-graduate/graduate educator for Engineering and Science scholars. Currently, she is working as an Associate Professor in the Department of Information Technology, BVRITH College of Engineering, Hyderabad, India. She is also serving as an active member of Research & Development Cell and as the Post Graduate Coordinator in her Institute.
Kayal’s research highly concentrates on supervised learning algorithms, measure optimization techniques, parameter selection & calibration for input-based model building, analytics on large predictor variables for any Intelligent Predictor System.
Her expertise in Object-oriented paradigms and research-oriented software like MATLAB, R, and PYTHON has helped her run several programs providing Data Analytics and Data Science training. She has served as a reviewer in IEEE conference program committees, and has delivered many technical talks/guest lectures and honoured as Resource Person in various Faculty development program and workshops.
She has been awarded with BEST RESEARCHER AWARD in the International Research Awards on Science, Health and Engineering SHEN 2020 Awards and Best Woman Faculty Award from Novel Research Academy for her contribution in Science and Technology.
Dr. Kayal involves actively in various research proceedings and she had expertized and certified in Research Ethics. She is an ACM Professional Member, Member of various International Computing societies and also serves as Editorial Team Member in reputed Journals.
She has been awarded Ph.D., in Computer Science and holds an M.Tech., and M.Sc., Degree in Computer and Information Technology with distinction. Her research interest includes Data Science Application, Machine Learning Algorithms, Artificial Intelligence, Data Mining, IOT and Big Data, Disruptive Innovations, Cloud Computing, Object Oriented paradigms, and Ethical research.