Profile Details

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Hire Shaurya U.

India

USD 50 /hr

Data Scientist | Mentor | Problem Setter Expert | Expert in Python, SQL, EDA, TimeSeries and NLP

Profile Summary

Experience in working with burgeoning companies of InMobi(Glance), Tata 1mg (e-pharmacy) and epiFi (neo banking - fintech). I have worked on a recommendation engine, NLP, TimeSeries, Machine Learning Statistical, and many other data science problems end to end to production. In academics also, I hold a good track record of consistent 8+ cgpa out of 10 throughout all semesters. I have a bias for action, solution-oriented, and have a good track record in communicating with stakeholders and establishing credibility. My role involves deciphering heaps of data, analyzing it, churning out meaningful insights from the data, and assisting stakeholders to make data-driven decisions. Also awarded with titled of Top 10 Active Data Scientist in India on LinkedIn. LinkedIn: https://www.linkedin.com/in/shaurya-uppal/

Subject Matter Expertise

• ★ Data Science
• ★ Trend Analysis
• ★ SQL
• ☆ Data Analysis
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Data Visualization
• ☆ Data Manipulation
• ☆ Machine Learning
• ☆ Data Cleaning
• ☆ Natural Language Processing
• ☆ Data-Driven Decision Making

Services

• Writing
• Research
• Data & AI

Writing Technical Writing, Copywriting

Research Gray Literature Search, Systematic Literature Review, Secondary Data Collection

Data & AI Statistical Analysis, Algorithm Design-Non ML, Data Visualization

Work Experience

Data Scientist

epiFi - Neobanking (FinTech)

May 2020 - Present

Data Scientist

1mg

February 2019 - May 2020

Data Scientist - Mentor and Problem Setter

InterviewBit (e-learning)

December 2018 - May 2020

Education

B.Tech with Honors (CGPA 8.6) (Computer Science)

Jaypee Institute of Information Technology

April 2015 - February 2019

Certifications

• Certification details not provided.

Publications

CONFERENCE PAPER

(2020). Comparative Analysis for {KeyTerms} Extraction Methods for Personalized Search Engines . {IEEE}

(2019). Pairwise Reviews Ranking and Classification for Medicine E-Commerce Application . {IEEE}