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What makes me a Potential Candidate!

Introduction

Analytics professional with over 3 years of work experience, currently pursuing MS in Business Analytics at the University of Cincinnati. Highlight of my career involves working with Ola Cabs, India’s billion $ cab aggregator for 2 years, both for its national and international market. My work involved churning millions of rows of data to come up with actionable insights, that has lead to remarkable business impact. I have led the entire customer life cycle planning for Ola’s Australian market at a critical phase of its expansion, and worked across multiple teams to optimize pricing and payment products.

Currently I am working as a part-time consultant to Cincinnati Reds (baseball team) to optimize their ticket sale operations. My next pursuit is to work in a fast-paced company, where I get new challenges, learn more, and can create even a bigger impact. I am actively looking for full time opportunities in analytics/data science, starting August 2020.

Skills

Analytical Tools : Python, R, SQL, SAS, Hive, Spark, Microsoft-Excel

Visualization : Tableau, MicroStrategy, R: ggplot2, Python: matplotlib, seaborn

Modeling : Regression, Classification (Ensemble, Boosting), Clustering, Pattern Mining, Text Mining, Time Series Forecasting (ARIMA, SARIMAX), Deep Learning (NN, CNN, RNN, LSTM), Bayesian, Markov Chain, MC Simulation

Specialization : Business Strategy, Growth and Marketing Analytics, Customer Life Cycle Planning, Operations Analytics

Certification : Data Scientist with R Track, Data Scientist with Python Track , Neural Networks and Deep Learning, Structuring Machine Learning Projects, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Recommendations

Prince Chandan, Category Head at Ola Cabs Relationship: Directly reported to him

It’s rare to come across a talent like Rasesh. I have worked with him for about a year and have always been impressed by his ability to read through the numbers. He understands both the business and data thoroughly. His analysis were clear, convincing and complete with curated actionables and quantified business impact. He managed a portfolio of categories and was key in coming up and implementing new ideas which led to significant business growth. One thing that stands out in him is his ability to work in and across teams. He is really good at getting the work done and taking his team along. A curious mind, ready to take on challenges, I am sure he will be a great asset to whichever company he works for

Sagar Pardesi, Product and Analytics Manager at Ola CabsRelationship: Worked together in multiple projects

I worked with Rasesh for close to 2 yrs. He has been an excellent colleague and a key resource for Ola. His analysis was always well thought, thorough and presented systematically, leading to many critical business decisions. It’s inspiring to see how in a short span he has grown, from working for one Indian city to handling the Customer Life Cycle (a crucial asset at Ola) for entire Australia and New Zealand. His insights have helped a great way in optimizing profits and scaling business at Ola, and I am glad to have shared this journey with him. I am sure he will do great in whatever he chooses next.

Academics

Education

University of Cincinnati, Carl H. Lindner College of Business, Cincinnati, Ohio, US August 2019 - Expecting Aug 2020

Master of Science in Business Analytics GPA: 4/4

Certificate of Data Science

Major courses: Statistical Methods & Modeling, Probabilistic Models, Data Mining, Regression,Time Series Forecasting,Intelligent Data Analysis (Machine Learning), Data Visualization, Optimization, Big Data Integration, Data Warehousing & BI

Indian Institute of Technology (IIT), Delhi, India May 2016

Bachelor of Technology, Engineering Physics CGPA: 7.5/10

Certifications

Data Scientist with R Track

An extensive course track offered by Datacamp, comprising of 19 comprehensive courses on R, right from basics to implementing Machine Learning models.

Data Scientist with Python Track

An extensive course track offered by Datacamp, comprising of 23 comprehensive courses on Python, right from basics to implementing Machine Learning models.

Neural Networks and Deep Learning, Coursera

Structuring Machine Learning Projects, Coursera

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Coursera

Academic Projects

Github

Route optimization: Modeled truck-drone hybrid delivery system, to recommend the best route using XpressMP

Apparel Image Classification: Trained & regularized CNN model in Keras to classify images in 10 categories

IMDB Box Office Prediction: Built & tuned regression models to predicts box office sales of upcoming movies

Song Genre Classification: Compared models & tuned Random Forest using SciKit-learn to classify songs into genres

Other Projects: Sentiment Analysis, Market Basket Analysis, Forecasting, Recommendation System, MC Simulation

Work Experience

Professional Work Experience

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UC Centre for Business Analytics Feb 2020 Present

Graduate Assistant

  • Consulting Cincinnati Reds (baseball team) to optimize window ticket sale operations and evaluate ticket sellers

  • Simulated queueing model in R to recommend sale strategy with 20% lower cost and 15% lower waiting time

Ola Cabs (ride-sharing technology company) Sep 2017 - July 2019

Analyst, International Marketplace Aug 2018 - July 2019

  • Lead analyst for discount investments & customer pricing in Australia & New Zealand, achieved 4x revenue growth

  • Redesigned customer segments and performed extensive A/B testing to retain demand at a 30% lower cost

  • Built classification model in R to target highly profitable customers, increasing its business contribution by 40+%

  • Planned marketing spends via demand clustering & feature generation in Python to quantify customer use case

  • Analyzed patterns in default (unpaid) rides & revised authentication rules that decreased default revenue by 30+%

Associate Prgoram Manager Sep 2017 - Aug 2018

  • Leveraged data to strategize top-line & bottom-line growth, achieving 32% growth with best profitability in India

  • Coded & deployed 4 dashboards in MicroStrategy for deep dive on business metrics, later replicated by many cities

  • Optimized product features & offer constructs, improving demand funnel by 5% & customer frequency by 10%

  • Mentored 2 direct reports, 3 trainees & worked in synergy with central product, data science and revenue team

Simbans (e-commerce start up) Sep 2016 - Aug 2017

Business Analyst

  • Optimized spare part inventory system based on defect & return rates to implement just in time principles

  • Enhanced conversion rate of the marketing campaigns by 22% via search engine optimization (SEO) methods

Seeking new Challenges!

Continuing my journey in the field of Analytics, my next pursuit is to work in a fast-paced company, where I get new challenges, learn more and create even a bigger impact. I am available full time from August 2020 and will be more than happy to connect with you for any potential work opportunities.

Please download the copy of my resume as a pdf. I appreciate your time devoted to my candidature and look forward to hearing from you.

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Contact details

Primary Email ID:

Secondary Email ID:

Mobile No.: +1(313)-290-8812

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