Divyansh Verma

Aspiring Data Analyst | Product Development Professional
Surat, IN.

About

Highly analytical and results-driven Chemical Engineering student with hands-on experience in Data Analysis and Product Development. Proven ability to leverage Python, SQL, and data visualization tools like Power BI to optimize workflows, improve data reliability by 20%, and reduce analysis time by up to 80%. Eager to apply strong analytical skills and technical expertise to drive data-driven decision-making in a challenging data-focused role.

Work

The Kraft Heinz Company GCC
|

Data Analysts Intern

Ahmedabad, Gujarat, India

Summary

Analyzed 100+ datasets to identify data quality issues across functions and streamlined workflows for the GCC division.

Highlights

Analyzed over 100 diverse datasets using Snowflake to pinpoint critical data quality issues across various business functions.

Automated data analysis workflows with Python and Streamlit, reducing analysis time by 80% and enhancing operational efficiency.

Developed and implemented Collibra DQ jobs, including rules, alerts, schedules, and scorecards, to proactively monitor data quality.

Contributed to a key internship project by creating a Functional Onboarding Video, improving new employee integration for the GCC.

Regere AI
|

Data Analyst & Product Development Intern

Chennai, Tamil Nadu, India

Summary

Developed a data analysis application and conducted quality control to enhance product data reliability and support software development.

Highlights

Engineered a Data Analysis application using Streamlit, which decreased data analysis time by 75% for critical product insights.

Executed in-depth quality control on multiple products, boosting data reliability by 20% through rigorous validation processes.

Utilized Large Language Models (LLMs) to generate JSON, significantly accelerating the software development process.

Bridged technical and business teams by translating manufacturing processes into clear requirements for the development team.

Volunteer

Renesa SVNIT
|

Chief Designer

Surat, Gujarat, India

Summary

Spearheaded design initiatives for Renesa SVNIT, enhancing visual communication and brand identity.

Highlights

Directed design projects and creative content for Renesa SVNIT, elevating visual standards for organizational communications.

Student Grievance Committee, DoChE, SVNIT
|

Student Representative

Surat, Gujarat, India

Summary

Represented student interests on the Student Grievance Committee, advocating for fair resolutions.

Highlights

Advocated for student concerns and facilitated resolutions within the Student Grievance Committee, impacting student welfare.

Sparsh 2023
|

Co-Head Design Committee

Surat, Gujarat, India

Summary

Co-led the Design Committee for Sparsh 2023, overseeing creative output and visual branding.

Highlights

Co-led the design committee for Sparsh 2023, guiding creative strategies and visual content development.

NSS SVNIT
|

Volunteer

Surat, Gujarat, India

Summary

Volunteered with NSS SVNIT, contributing to community service initiatives and social impact projects.

Highlights

Participated in various community service projects as a volunteer with NSS SVNIT, contributing to social welfare initiatives.

AIChE Executive Student Committee, South Asian Region
|

Regional Liaison

Surat, Gujarat, India

Summary

Acted as a regional liaison for the AIChE Executive Student Committee, fostering regional collaboration.

Highlights

Facilitated communication and collaboration across the South Asian Region as an AIChE Executive Student Committee Liaison.

AIChE SRC 'Synergicon'
|

Coordination Head

Surat, Gujarat, India

Summary

Led coordination efforts for AIChE SRC 'Synergicon', ensuring seamless event execution and team collaboration.

Highlights

Coordinated logistics and activities for AIChE SRC 'Synergicon' events, impacting student engagement and participation.

TEDxSVNIT
|

Core Committee Member

Surat, Gujarat, India

Summary

Contributed to the core committee of TEDxSVNIT, supporting event planning and execution.

Highlights

Managed key aspects of TEDxSVNIT event planning and execution, ensuring successful delivery of impactful talks.

Education

Sardar Vallabhbhai National Institute of Technology, Surat
Surat, Gujarat, India

Bachelor of Technology

Chemical Engineering

Amrit Vidyalaya, Panchmahal, Gujarat
Panchmahal, Gujarat, India

High School Diploma

Secondary Education

Languages

English

Fluent

Hindi

Native

Gujarati

Fluent

Certificates

Career Essentials of Business Analysis

Issued By

Microsoft & LinkedIn

Agile Project Management Professional Certificate

Issued By

Atlassian

Google Cloud Computing Foundations

Issued By

Google Cloud

Aspire Leaders Program

Issued By

Aspire

McKinsey Forward Program

Issued By

McKinsey

Data Analyst with Python

Issued By

DataCamp

Associate Data Engineer with SQL

Issued By

DataCamp

Google Data Analytics Professional Certificate

Issued By

Google - Coursera

Skills

Programming Languages

Python, SQL.

Python Libraries

Numpy, Pandas, Streamlit, Simpy, Scikit-learn, Matplotlib, Seaborn, Altair.

Data Visualization Tools

Tableau, Power BI, Grafana.

Databases

Snowflake, Access.

Other Tools

Excel, PowerPoint, LaTeX, InDesign, Photoshop, Illustrator, Collibra DQ, Llama3.

Data Analysis & Engineering

Data Quality, Workflow Automation, LLM Integration, JSON Generation, Machine Learning, Customer Churn Analysis, Data Reliability, ETL, Data Processing, Data Modeling.

Soft Skills

Communication, Design Thinking, Planning, Problem Solving, Cross-functional Collaboration, Stakeholder Management.

Interests

Professional Interests

Manufacturing Operations, Graphic Design, Economics, Marketing, Artificial Intelligence, Product Development.

Projects

School Students Performance Dashboard

Summary

Developed an interactive PowerBI dashboard to analyze and visualize student performance data, empowering educators with data-driven insights.

Customer Service Chatbot

Summary

Developed an AI-powered customer service chatbot as a capstone project for CAC IIT-G Summer Analytics.

Customer Churn Analysis

Summary

Conducted comprehensive data analysis and applied Machine Learning models to predict customer churn with high accuracy.