vikash.dev
Open to Fresher Roles · 2026

Hi, I'm Vikash — I turn raw data into decisions that matter.

Data Science Intern

BCA (Data Science) student with 9+ months building scalable backend systems, end-to-end ETL/ML pipelines, and production-ready Flask APIs at REGex Software. Proficient in Python, SQL, Flask, Pandas, scikit-learn, and Docker — seeking a fresher role in Data Analytics, Data Engineering, or Backend Development.

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Months Experience
0+
Projects Shipped
0+
Records Analyzed
Vikash Kumawat
df.isnull().sum()
0 missing
Docker
Container Ready
Model F1-Score
Improved ↑
About Me

The person behind the pipelines

A quick look at who I am, what I study, and where I'm headed.

I'm a BCA (Data Science) student at Commerce College Jaipur, currently in my final year, and a Data Science Intern at REGex Software Services with 9+ months of hands-on experience. My work spans building scalable backend systems, designing end-to-end ETL/ML pipelines, and deploying production-ready Flask APIs.

I'm comfortable across the full data and backend stack — from writing optimized SQL JOIN queries and designing normalized relational schemas, to training scikit-learn ML models, to containerizing applications with Docker, to building AI-powered agents with LLMs. I care about clean, well-structured code as much as the insight it produces.

Career Objective

Seeking a fresher role in Data Analytics, Data Engineering, or Backend Development at a high-impact organization where I can apply my skills in Python, SQL, Flask, and machine learning to solve real-world problems at scale.

2024 – 2027

Bachelor of Computer Applications — Data Science

Commerce College, Jaipur
Coursework: DSA, DBMS, Python, Machine Learning, Web Technologies, Statistics
Completed 2024

Higher Secondary Certificate (12th) — Commerce

Surendra Public School, Jaipur
Sep 2025 – Present

Data Science Intern

REGex Software Services, Jaipur
10+ months · ML pipelines, Flask APIs, Docker, EDA
Technical Expertise

Tools I use to ship data products

From raw CSVs to Dockerized production APIs — here's my full stack.

Python92%
SQL88%
JavaScript78%
C70%
HTML5 & CSS390%
Pandas
NumPy
Matplotlib
Seaborn
Plotly
scikit-learn
EDA
Feature Engineering
Random Forest
KNN / SVM
SMOTE
K-Means / DBSCAN
Git & GitHub
Docker
Flask / REST API
Linux / Bash
VS Code
Jupyter Notebook
Google Colab
Prompt Engineering
System Design
OOP & DBMS
Featured Work

Projects that prove the skills

AI agents, ML APIs, Dockerized apps, and data pipelines — built end to end.

AI Agent · Full-Stack

AmazonScout — AI Product Research Agent

Full-stack AI agent that scrapes live Amazon product data and feeds it to a Groq-hosted LLaMA 3.3 70B model to generate structured research summaries including price comparisons, review sentiment, and recommendations.

PythonFlaskGroq/LLaMA 3.3ScraperAPIPrompt Eng.
Machine Learning · REST API

Supervised ML Models — Churn & Insurance Prediction

Customer Churn API (Random Forest + SMOTE on 10,000+ records) and Insurance Charge Prediction API (Linear Regression). Compared LR, DT, RF, and SVM models; served real-time predictions via Flask REST endpoints.

scikit-learnFlaskSMOTEPandasPickle
Backend · Docker · Database

DriveX — Car Booking & Feedback Web App

Full-stack car booking app with end-to-end booking flows, user auth, and feedback collection. Normalized MySQL schema with FK constraints. Containerized with Docker multi-container networking (Flask + MySQL) for production-ready deployment.

PythonFlaskMySQLDocker
Web Development · Full-Stack

Mitti Cafe — Full-Stack Web Application

Multi-page cafe web app with reusable components.js module that auto-injects navigation and footer at runtime across 6 pages. Flask backend handles routing and form submissions with accessibility-first semantic HTML5 design.

PythonFlaskJavaScriptHTML5
Data Science · EDA

Data Analytics & EDA Pipeline

End-to-end ETL on Employee Attrition (1,400+ records), COVID-19, and Titanic datasets. Handled nulls, encoded categoricals, removed outliers — uncovering demographic and geographic patterns via univariate and bivariate analysis.

PandasPlotlyscikit-learnNumPy
Backend · Database · Docker

Booking Management System

Normalized relational MySQL schema with FK-linked tables for bookings, users, and resources. RESTful Flask API with full CRUD, optimized INNER/LEFT JOIN queries, and Docker containerization for consistent multi-environment deployment.

PythonFlaskMySQLDocker
Web Development

Responsive Portfolio Website

Fully responsive personal portfolio at vikash-2006.github.io, showcasing projects, skills, and certifications with zero external framework dependencies, built with pure HTML5 and CSS3.

HTML5CSS3GitHub Pages
Experience

Where I've put skills to work

10+ months of hands-on data science and backend engineering inside a live team.

Data Science Intern

REGex Software Services · Jaipur, Rajasthan
Sep 2025 – Present · 10+ mo
  • Engineered ML-ready datasets from raw CSVs using Pandas — null imputation, label encoding, and categorical feature mapping — delivering clean pipelines for downstream ML workflows.
  • Conducted end-to-end EDA on COVID-19 and Titanic datasets using Pandas and NumPy, identifying demographic and geographic patterns across 1,000+ records.
  • Developed interactive dashboards using Matplotlib, Seaborn, and Plotly — heatmaps, distribution plots, and donut charts — to present actionable insights to stakeholders.
  • Built end-to-end ML pipelines in Python (scikit-learn) covering data ingestion, preprocessing, model training, and Pickle serialization — reducing manual pipeline setup time by ~40%.
  • Developed and deployed Flask REST APIs serving regression and classification models for insurance charge prediction and subscriber churn prediction.
  • Dockerized a Flask + MySQL application with custom container networking — resolved localhost-to-container hostname issues for consistent, production-ready multi-container deployment.
  • Designed prompt-engineering workflows to automate repetitive data reporting, reducing manual effort by 60% through structured AI instruction pipelines.
Certifications

Continuous learning record

Verified credentials and ongoing coursework.

SQL (Basic) Certification

HackerRank · 2024
Verified

SQL (Advanced) — Querying Certification

HackerRank · 2024
Verified

AI Tools Workshop — AI & Automation

2024
Verified

Google Data Analytics Certificate

Google / Coursera · 2025
In Progress

Python, Pandas & Data Visualization

Kaggle · 2025
In Progress

Day-by-Day ML Learning Log

GitHub & LinkedIn · Ongoing
Public Record
Let's Connect

Have a role in mind? Let's talk.

I'm actively seeking fresher roles in Data Analytics, Data Engineering, or Backend Development. My inbox is always open.

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