A podcast show brought to you by Women in Data Science (WiDS) Mumbai team featuring local Data Scientists sharing their work, advice, and lessons learned along the way. Hear about how data science is being applied and having an impact across a wide range of domains.
Madhavi Kaivalya Kandalam | Understanding AI trends and risks
About the speaker:
Joining us today is Madhavi Kaivalya Kandalam. She has a B.Tech in Biotechnology from NIT Warangal.
Starting with Data Science consulting for Fortune 500 companies at Mu Sigma, she moved onto an in-house Data Science function at the largest loyalty service provider in India and progressed to
a Corporate Leadership position as the Chief Data Scientist. Working at two start-ups in their growth phase has been a
tremendous learning opportunity for her.
Her recent projects include:
- Building a FinTechMarketing product targeting with ML algorithms at backend for automatic target group selection
- Creating POC for AI based recommendation engine to improve customer engagement on banking transactions
She is currently pursuing her MBA from the London Business School
About the conversation:
In this episode, we talk about:
1. Her journey
2. Latest trends in business models in deep tech using AI:
a) Successful deep tech ventures are bringing together multiple talents (including scientists, engineers, and entrepreneurs) to solve a problem.
Often they develop brand-new technologies because no existing technology fully solves the problem at hand.
b) Infrastructure to store and manage data still remains a bottleneck for the efficiency of AI solutions but is consistently being worked upon. For instance, Kafka is making the streaming of real-time data seamless
c) AI bias: Over the past few years, society has started to wrestle about human biases that can make their way into artificial intelligence systems — with harmful results.
At a time when many companies are looking to deploy AI systems across their operations, being acutely aware of those risks and working to reduce them is an urgent priority.
3. Advice for breaking into Data Science:
a) Talk to people already in the field and don't hesitate to get your hands dirty in the code. Coding is an essential stepping stone for this field irrespective of your role.
b) Start small and figure out your path one step at a time
c) Don't hesitate to learn every day
4. Is an MBA necessary?
MBA is a personal decision and is circumstantial. You can always transition to a leadership role without an MBA but if you want to get one, be clear with the expectations from the degree.
5. Her plans post MBA: She plans to launch a startup in the EdTech space.
17 Dec 2020
Sahiba Chopra | Data Scientist's journey from industry to research
Sahiba Chopra has over 6 years of experience working as a data scientist with various companies across multiple domains. She is currently an MS Candidate in Applied Economics and is actively involved in the research. Hear her experience as a data scientist with host Hetankshi Desai in this episode.
28 Sept 2020
Tanvi Purohit | Transitioning into Data Science and creating impact
Tanvi Purohit has over 8+ years of experience in the industry and is currently the Lead Business Analyst at DocOn Technologies, a health tech startup. She has also been an Analytics Vidhya volunteer in the past. Hear her share her experience in the field of data science with our host Hetankshi Desai.
29 Aug 2020
Dr Anjali Chopra | The intersection of Statistics and Technology
Dr Anjali Chopra, Consumer Insights Specialist and Educationist at K.J. Somaiya Institute Of Management Studies and Research (Mumbai), shares some insights from her journey in the field of technology and Data Science also guiding the ones entering or are beginners in the field with host Hetankshi Desai.
Dr Anjali Chopra is an active researcher from over 20 years and an educationist teaching young MBA graduates about insight mining for Marketing problems. She has over 20 years of experience in the field across various sectors spanning Consumer Durables, FMCG, Telecom, Personal Care and Financial Services. She is an expert in understanding the consumer requirements in various fields and bringing out the insights for marketing problems from hard factual data. In this podcast, she enlightens us with the things she has learned to grow in her wonderful journey in the field of Technology and Data Science.
6 Aug 2020
Deepa Naik | A perspective on leveraging Emotional Intelligence
Deepa Naik is the Co-founder of Cogitari and a founding member & India leader at Humans for AI. Her background in stats and the first job in programming back then has found her way to build a strong interest in Data Science now and in launching her startup Cogitari, it's like the circle of life she says.
In this episode, you will get a chance to listen to a candid conversation on data science, her work at both Cogitari and Humans for AI and how you can create an impact using your technical skills with host Ratul Ramchandani.
30 Jun 2020
Ritu David | An entrepreneurial journey towards Data Science
Ritu David is the founder of The Data Duck - a product design and development firm. Her core expertise lies in finding unmet needs and gaps in the value chain and taking a product all the way from conceptualization to launch.
In this episode you will get a chance to listen to a candid conversation on data science, entrepreneurship and how you can create and impact using your technical skills with host Aqsa Bhimdiwala.
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