I am on a personal mission toempower the under-privileged with technology by building world-class products and using BI, data science, & ML as tools to drive business innovation.

Help manifestconversational ecommerce, 5G IoT revolution, edge computing, sustainable energy &Cloud for All.

• Building new products and capabilities at LeaseQuery to help it transition from single product company to multi-product platform
• Data pro with 3 years in shipping data-driven solutions for global business teams in ecommerce, finance, product & growth analytics.
• Partnered with industry in multiple projects, leveraging NLP & ML to generate actionable insights and product ideas for stakeholders
• Author for"Towards Data Science" &"Python in Plain English", 2 leading data related Medium publications

• Academic: Dean's List 2019, Honors List 2020 @Purdue
• Winner:Google Data Hackathon, Purdue Chapter
• Selected Competitor: INFORMS Business Analytics Conference 2020, Denver (industry poster)
• Leadership: Executive Board Member, Krannert Graduate Student Organizations - GWIB, KABC @Purdue

• Using AI/ML to create cutting-edge MVPs and POCs
• Product management/Leadership skills

• LinkedIn:https://www.linkedin.com/in/akshaymadar/

I love travel, F1, music. My top 3 tech channels: MKBHD, Unbox Therapy, TechCrunch

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1. industryPracticum-fortune200-CPG-amazonProfitabilityindustryPracticum-fortune200-CPG-amazonProfitabilityPublic

   View my industry practicum for predicting amazon profitability and trade optimization using SKU bundling strategy - for a New York based Fortune 200 CPG company's ECommerce Analytics and Insights team

   Jupyter Notebook 1

2. MovieTycoon-gcp-based-BI-toolMovieTycoon-gcp-based-BI-toolPublic

   GCP hosted product for over 1 million movie investors on HSX.com, aiding online movie trading and box-office investments by leveraging Big Data technologies like Hive and Hadoop, and Tableau dashbo…

   Jupyter Notebook 1

3. applied-ML-hackathon-by-krenickiapplied-ML-hackathon-by-krenickiPublic

   Awarded 1st position in 'Google-Krenicki Hackathon' for cloud based ML framework to predict US household income for real-estate brokerage firm; using Google Colab and AWS S3

   Python 1

4. NEWSense-news-recommendation-system-using-twitterNEWSense-news-recommendation-system-using-twitterPublic

   Developed a hybrid-filtering personalized news articles recommendation system which can suggest articles from popular news service providers based on reading history of twitter users who share simi…

   Jupyter Notebook 11 5

5. airbnb-nyc-urban-tourism-challengeairbnb-nyc-urban-tourism-challengePublic

   Framework for 48000+ hosts & 800,000 annual visitors in New York City to generate customized and computationally efficient - lists of Airbnbs given combinations of parameters of budget, number of d…

   Jupyter Notebook 1

6. codestackcodestackPublic

   A bird's eye view of all my repositories - here you will find all my data science work, which I have put in place for quick brief look. Visit individual repos for a deeper dive

   Jupyter Notebook