About Me

Seasoned business analyst, with 4+ years of experience in data analytics and business intelligence.

Competencies:

Business Analytics (A/B Testing, Time Series), Machine Learning (Regression, CARTs, Deep Learning), Data Management (ETL, Wrangling), Data Visualization, Predictive & Prescriptive Analytics, Data Modeling, Cloud Computing, Product Development, Project Management (Agile) and Supply-Chain Analytics.

aCAP (Associate Certified Analytics Professional) – December 2021 Candidate.

Experience

Undisclosed Multinational Lodging Partner

Graduate Analytics Consultant

Deployed hyper-tuned demand forecasting models (including SARIMA, Prophet & bi-directional LSTM), using parallelization on Bell Cluster, to improve 48-hour booking window prediction accuracy by ~18%.
Implemented Gurobi Optimization of short-term dynamic pricing-policy to maximize projected revenue by ~9%.

Concept Petro-Chem Pvt. Ltd.

Business Analyst

Devised a 3-step asset management system – predict performance, incorporate end-of-life/failure criteria, track actualvs-predicted performance – that helped to reduce the maintenance cost by ~9% and the downtime by ~11%.
Revised the demand forecasting models using Python, in the wake of reformed GST tax regime, with a MAPE of ~13%.
Conducted stochastic market-entry analysis using @RISK, for LNG purification, with an expected profit of ~$ 0.8M.
Formulated demand-pooling & segmented-pricing strategy amidst furnace-oil crisis, due to IMO’s Sulphur Limit.
Modeled Margin-Variance analysis, using Excel simplex solver, to identify and minimize ~2% profit leakage.
Led Systems-Analysis and IT design for successful adoption of ZOHO CRM (Customer Relationship Management).

Reliance Naval and Engineering Limited

Graduate Engineer Trainee

Achieved 6 project milestones and 2 invoice milestones, with a cumulative value of ~$ 0.6M.
Assisted project management team, using MS Project, to reduce cost-overruns by ~5% and time-overruns by ~11%.

Education

Purdue University

Indiana, USA

January 2021 - December 2021

Master of Science in Business Analytics & Information Management

Graduate Teaching Assistant: Database Management Systems

Vice President: Krannert Energy Club

Relevant Courseworks:

Advanced Business Analytics
Unstructured Data Analysis
Data Mining and Machine Learning
Python and R programming
Database Management
IT Project Management

Pandit Deendayal Petroleum University

Gujarat, India

May 2012 - June 2016

Bachelor of Technology in Petroleum Engineering

Projects

Espoir - Mental Health App For Workplace

Developed a web-platform, using HTML, CSS, Python, Git & Tableau, to calculate and access mental health indicators at individual as well as organization levels (Winner - ECS Hackathon).

View Espoir App

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YouTrends - Popularity Prediction App For YouTubers

Built an R-based interactive webapp to showcase descriptive & predictive analytics for youtubers to gauge likely popularity of a video using RStudio’s ShinyApp package (Rank # 2).

View YouTrends App

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Authenticating Categorization of Sales Advertisements

Categorized Craigslist’s sales ads into spam / non-spam, based upon category & sub-category listed, with NLP and Image Processing using Scrapy, RNN and CNN models.

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Bitcoin Trends Prediction using Twitter Sentiment Analysis and Deep Learning

Conducted Sentiment Analysis of BTC (at hourly basis), using BeautifulSoup, Textblob and Vader, and translating it into an actionable insight for trading strategy using LSTM.

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