Rishabh Verma
New Delhi
Summary
Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. Proven to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for Big Data.
Overview
3
3
years of professional experience
Work History
Data Scientist/Analyst
TheMathCompany
11.2022 - 05.2024
- Comprehensive Understanding of US Healthcare Ecosystem, Data Pipeline Development for Dashboard Creation, Proficient in Writing SQL Queries for Data Population in Power BI Dashboards, Data Transformation and Manipulation using Python to Meet Client Requirements, Interactive Dashboard Creation with Power BI, Team Leadership: Managed and Guided a Team of Analysts to Successfully Deliver Projects, Documentation Expertise: Meticulous Documentation of Code and Dashboards, Client-Centric Approach: Proficient in Understanding Client Needs and Facilitating Solutions through Effective Communication, Tools Mastery: Python, SQL, and Power BI for Data Transformation and Analysis
- Automated repetitive tasks using scripting languages such as Python, saving time during the analytical process significantly.
Data Scientist/Analyst
NaranaTech Pvt. Ltd.
08.2021 - 10.2022
- Creating insightful dashboards on Power BI, Powerful Dashboard Creation in Power BI, Data Automation and Transformation using Python (Numpy and Pandas), Web Scraping and Data Extraction with Selenium, Proficient in Extracting Data from Google Analytics and Klaviyo, Live Dashboard Development with Python, Utilizing Streamlit, Expertise in Data Wrangling, Data Storage Solutions, Data Analysis and Insight Generation, Client Experience: Mum&You UK, DrSheth, Captain Zack
- Streamlined data collection methods to improve quality control measures and minimize errors in analysis results.
- Cleaned transformed, and analyzed large datasets to uncover hidden trends and patterns for actionable insights.
Business Analytics Trainee
Yaantra
02.2021 - 05.2021
- Daily Data Analysis and Report Generation, Provision of Insights and Intelligence to Superiors, Management of 38 Airtel Stores, Involving Promotor Queries, Issue Identification, and Stock Management, Competitive Price Benchmarking through Data Mining from Competitor Websites Using Selenium, Website Automation with Python to Enhance Efficiency, Including the Creation of Product IDs, Development of Data Extractors and Crawlers for Mining Product Information from Sites (e.g., GSM Arena), Creation of Social Media Campaigns to Promote Airtel Yaantra
Education
PGDM - Business Analytics and Marketing -
New Delhi Institute of Management
12th (Commerce) -
Universal Public School
01.2016
Skills
Python Programming
Statistical Analysis
Data Mining
Power BI Dashboard Building
Machine Learning
Data Automation
Excel Dashboards
Accomplishments
- Shipment Dashboard - https://shorturl.at/lFILZ
- Healthcare Dummy Dashboard - https://shorturl.at/ckEN1
- Integrating Python Visual in Power BI Dashboard - LinkedIn Post: https://shorturl.at/bhCHZ, Dashboard Link: https://shorturl.at/noAEI
- Master Dashboard for Ecommerce - https://shorturl.at/owBEG
- Python for Data Science and Machine Learning Bootcamp on Udemy (June 2020)
- Google Analytics Training Course for Beginners on Udemy (May 2020)
- Microsoft Power BI - A Complete Introduction on Udemy (May 2020)
- R Programming A ZT: R For Data Science With Real Exercises! on Udemy (Feb 2020)
- The Complete SQL Bootcamp 2020: Go from Zero to Hero on Udemy (May 2020)
- Complete Python Bootcamp: Go from zero to hero in Python 3 on Udemy (May 2020)
- Secured the 2nd prize in a competition at IIT Roorkee Fest in 2018, Served as a teacher at Lady Hardinge College, CP, Possess a 3-year experience in playing the guitar
Personal Information
Date of Birth: 09/28/98
Timeline
Data Scientist/Analyst
TheMathCompany
11.2022 - 05.2024
Data Scientist/Analyst
NaranaTech Pvt. Ltd.
08.2021 - 10.2022
Business Analytics Trainee
Yaantra
02.2021 - 05.2021
PGDM - Business Analytics and Marketing -
New Delhi Institute of Management
12th (Commerce) -
Universal Public School
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