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HI THERE,
I'M SWAPNIL!

Seeking intern in analytics or data science for Summer of 2018 | Masters candidate in analytics at University of Illinois at Chicago | Bachelors (B.Tech) from Indian Inst. of Technology (IIT) Roorkee

Harmonising business, math, and technology to tap the hidden intelligence in data, is what excites me. 3 years of experience in data-driven consulting for international retailers, whilst working in a startup and a corporate ecosystem, has transformed me into a responsible and technically adept analytics professional

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PROFESSIONAL HISTORY

Summary

  • Accomplished decision scientist: 3 years of work-ex in analytics using SQL , SAS, R, Python and Tableau

  • Proficient in identifying and solving business problems by deployinh the knowledge of DOE and analytics

  • Excellent problem-solving and data mining, leadership, project management and communication skills

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TEACHING ASSISTANT AT UIC, CHICAGO

Aug 2017  - present

Train the junior level students in deploying the concepts germane to "Introduction to Operation and Supply Chain Management" in Microsoft Excel; Working on analytics projects as a part of curriculum and also at leisure

CONSULTANT AT EQUIFAX, BANGALORE

Mar 2016 - May 2017

Drive business projects from inception to consumption by amalgamating analytical, client liaison, project management and leadership skills to eventually establish and strengthen new client relationships

DECISION SCIENTIST AT MU SIGMA, BANGALORE

May 2014 - Mar 2016

Identify and solve problems for a Fortune 50 retail client by integrating the concepts of design of experiments and data analytics in a time-constrained manner within a fast-paced startup ecosystem

INTERN AT TUM CREATE LTD., SINGAPORE

Jun 2013 -Jul 2013

Glean and apply the concepts of electrochemistry, ken of non-conventional resources, and analytically driven research skills to enhance the properties of materials used in Electric Vehicle Battery Systems

PROJECTS-I

Portfolio of Work (University projects)

Home: Projects
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SOCCER ANALYTICS

Data Mining and Machine learning

Identifying the next big soccer players based on FIFA dataset using Decision Trees, Random Forests, Adaboost, SVM, and Neural Networks through cross-validation methods (Naive and nested respectively)

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FRAUD DETECTION

Data Mining and Machine learning

Identify the manipulator companies based on financial datasets using data mining techniques like Decision Trees, Random Forests, and GBM Boosting, followed by comparison through cross-validation techniques

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AMAZON CO-PURCHASES

Social Media and Network Analysis

Determining patterns in the Amazon's product co-purchase data (available on SNAP) through network analysis built on network statistics and link growth parameters

Note: These are just college projects (one which I completed either as a part of curriculum or at leisure). I could not display the projects reports germane to my professional engagements because of confidentiality agreements

PROJECTS-II

Portfolio of Work (Professional Projects)

Home: Projects

EQUIFAX

Empowered middle-east based retail conglomerates to take data-driven decisions:

☐ Formulated a Customer Lifetime Value Model that enabled the clients to enhance their engagement by 12%
☐ Built a Logistic Regression integrated Simplex Optimization model enhancing brochure performance by 14%
☐ Developed customer and store profiles by using K-means clustering  to segregate customers effectively
☐ Improved the customer targeting mechanism by identifying responsive customers through CHAID analysis

MU SIGMA

Empowered multiple teams of a Fortune 50 retail giant to systematize analytics:

☐ Concocted a Linear Regression - GA Optimization engine to optimize store layouts (increased sales by 5%)
☐ Improved merchandise performance by 4% through cross-category sales based on Affinity/Association rules

☐ Built a Random Forest classifier on POS and customer data to identify the key drivers of store performance 

☐ Formulated Propensity Score Model to evaluate dollar opportunity among control cohorts using R-MatchIt

☐ Devised a robust brand scoring algorithm to rate brands based on their equity and performance

☐ Assessed the impact of an event on merchandise performance using Test and Control analysis

☐ Built a Tableau dashboard and enabled the clients to monitor compliance risk across 11 geographical markets

TUM CREATE LTD.

Assisted the battery making team by performing scientific & analytical procedures:

☐ Investigated the properties of composites used for redox flow batteries using adv. electrochemical methods
☐ Established robust statistical relationships between material properties & battery parameters for electric cars

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SKILLS & COMPETENCIES

Languages and Tools: SQL, SAS, R, Python, Tableau, Gephi, Microsoft Office (Excel, Access, Word, Powerpoint), Hadoop

Concepts: Data Mining, Statistical Inference and Predictive Modeling, Machine Learning , Optimization Techniques, Big Data

Domain-knowledge: Retail Analytics, CRM Analytics, Pricing and Revenue Optimization, Social Media and Network Analysis

PROJECT MANAGEMENT

LEADERSHIP QUALITIES

KNOWLEDGE SHARING

EXTRA-CURRICULARS

VOLUNTEERING ACTIVITIES

TEAM
PLAYER

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LECTURE

Delivered a lecture at MuSigma germane to R-MatchIT

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"What gets measured,
gets managed"

Peter Drucker

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GET IN TOUCH

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