Hi there! 👋 I'm Kunika — an engineer by education, a learner by nature, and someone who enjoys turning ideas into something real.
My journey started with Electronics and Computer Engineering, followed by my PG-DBDA at C-DAC Hyderabad. Somewhere along the way, I found myself drawn to data, machine learning, and AI — not just because they're growing fields, but because I love the idea of using technology to solve problems and make things work smarter.
I believe the best way to learn something is to get your hands dirty. That's why I enjoy working on projects, experimenting with new tools, making mistakes, figuring things out, and improving with every attempt.
From exploring customer behaviour through K-Means Clustering during my Machine Learning & AI internship with BeeSkilled to building an NPTEL Smart Assistant using RAG and AI technologies, I've been trying to turn what I learn into practical solutions.
Python and SQL are my core tools, and I'm continuing to explore data analytics, machine learning, and Generative AI.
I'm not here to claim I know everything. I'm here because I want to keep learning, take on challenges, and become someone a team can rely on. Give me a problem worth solving, an opportunity to learn, and the chance to contribute — and I'll give it my best.
🚀 I'm looking forward to starting my professional journey in Data Analytics, Machine Learning, or AI, where I can learn from experienced people, contribute to meaningful work, and grow through real-world challenges.
If my journey or interests resonate with you, let's connect. I'd love to hear about yours, too! 😊
Pune · Open to Pune · Hyderabad · Bangalore · Hybrid
Skills
Claimed
Machine Learning ApplicationProcess ImprovementModel Training ExecutionForecastingHands-on Work ApproachVector Database UsageGenerative AI ApplicationLLM Application IntegrationCrewAI Framework UsageChromaDB Vector Database ManagementAI Agent DevelopmentRetrieval-Augmented Generation
Proof of Experience
B
machine learning intern
BeeSkilled · Sep 2026 – Present
Completed a machine learning project during my internship with BeSkilled through the AICTE internship platform.
Performed Exploratory Data Analysis (EDA) on the Mall Customer Segmentation Dataset using Python, Pandas, Matplotlib, and Seaborn.
Applied K-Means Clustering and the Elbow Method to identify five customer segments based on age, annual income, and spending score.
Created visualizations to analyse customer behaviour and developed data-driven marketing recommendations for each segment.
TS
Data Analyst
Tech Surya IT Solution · Jan 2025 – Dec 2025
ETL Pipeline Design: Built robust Python automation scripts for data preprocessing, cleansing, and validation across recurring workflows to eliminate manual efforts.
Data Quality & Governance: Automated duplicate detection and missing-value handling, reducing pipeline errors and improving overall data reliability.
Database Management: Wrote optimized SQL queries for business reporting, analytics, and data modeling while managing structured datasets on AWS S3.
Monitoring & Agile Delivery: Contributed to Agile sprint cycles, daily stand-ups, technical documentation, and pipeline troubleshooting.
TS
Intern
Tech Surya IT Solution · Jan 2025 – Jun 2025
Proof-of-Work
No completed sessions yet. Anything kunika finishes shows up here with the evidence behind it.
Proof of Education
CF
pg-dbda, Data Processing and Data Processing Technology/Technician
Centre for Development of Advanced Computing (C-DAC) · 2025 — 2026
MJ
Bachelor of Technology - BTech, Electronics and computer Engineering
M.G.M's Jawaharlal Nehru College of Engineering · 2021 — 2025
CF
Postgraduate Degree
C-Dac(Centre For Development Of Advanced Computing
MU
B.Tech in Electronics & Computer Engineering
MGM University
A Proof CV — one profile, kept current, with the proof attached. Back to the portal