JENNITA SANTHAKUMAR

Summary

Dynamic and results-driven student at SRM IST RMP, adept in Python and data analysis. Successfully organized campus events, enhancing student engagement by fostering collaboration and communication. Proven leadership and time management skills, effectively balancing academic and extracurricular commitments to achieve impactful outcomes.

Overview

years of professional experience

Work History

Student

SRM IST RMP

07.2023 - 07.2025

Assisted in organizing campus events to promote student engagement and participation.
Collaborated with faculty on presentations and class discussions to deepen understanding.
Managed time effectively to balance coursework, extracurricular activities, and personal commitments.

Education

SBIOA MODEL

01.2023

B.tech - Big Data Analytics

SRM INSTITUTE OF TECHNOLOGY

01.2027

Skills

Languages/Tools: Python, HTML, CSS, MySQL, Excel
Libraries/Frameworks: Pandas, NumPy, Seaborn, Matplotlib, MediaPipe

Soft Skills: Communication, Time Management, Leadership, Team Collaboration
Data analysis

Projects

Laptop Reviews Chatbot

Flipkart Reviews Dataset Analysis
Created a chatbot using one of the LLM Models which suggests the best laptop based on the specifications user needs.
Cleaned and analyzed 24k+ records using pandas and visualized insights with seaborn

Hand Gesture-Controlled Spotify

Used MediaPipe to detect hand gestures and control Spotify actions (play, pause, volume,Track change)

Social Media Trends

Analyzed ‘Social Media Trends’ Dataset with 5000+ records, combining SQL Queries and Excel to visualize insights found.

Languages

English: Fluent

Tamil: Fluent

French: Basic reading and writing

Websites

Affiliations

Volunteer at Bhumi NGO

ADDITIONAL SKILLS

Leadership & Activities
Organizer, Data Quiz Event – Part of symposium “Datatrix”.
Member, Content Domain Eco-Club, [SRMIST]
Data Science Derby, Data Analysis Competition
With my Teammate, Worked with ‘Global-music data’ and found some interesting insights like the most played artist, top genres by country, and how listening habits vary by age and subscription type. We even looked into which streaming platforms people use the most using Power BI and Excel.

Timeline