Data Scientist • AI / ML • India
Candidate Profile
Kashish Arora
Data Scientist | AI & ML Enthusiast
94%
Recruiter fit
Core signal map
04
AI/Data projects
30+
Tools & methods
AI
Specialization
About Me
I am a Computer Science Engineering student specializing in Artificial Intelligence with hands-on experience in Machine Learning, Data Analytics, Data Visualization, Business Intelligence, and AI-powered applications. I enjoy transforming complex datasets into actionable insights and building intelligent systems that solve real-world challenges.
B.E. Computer Science Engineering
Artificial Intelligence specialization, Chitkara University
Based in India
Open to data science, analytics, machine learning, and AI-focused opportunities.
Technical Skills
Organized for recruiter scanning: programming foundations, data science workflow, machine learning methods, visualization, databases, and day-to-day development tools.
Programming
Python
SQL
Java
Data Science
Pandas • NumPy • Scikit-Learn • Data Cleaning • Data Wrangling • Feature Engineering • Statistical Analysis
Machine Learning
Classification • Regression • Random Forest • XGBoost • Isolation Forest • Model Evaluation
Visualization
Matplotlib • Seaborn • Plotly • Power BI
Database
MySQL • MongoDB
Tools
Jupyter Notebook • Git • GitHub • VS Code
Selected Projects
01
Developed a data analytics solution to analyze website traffic patterns, user engagement metrics, peak activity periods, and conversion opportunities using exploratory analysis and visualization.
Python · Pandas · NumPy · Matplotlib · Seaborn · Power BI
Result: Generated actionable insights to improve user engagement and optimize website performance.
02
Designed and developed a centralized platform connecting fashion designers and consumers, enabling designers to showcase work and customers to discover, interact with, and purchase products.
Flask · MySQL · HTML · CSS · JavaScript
Result: Created a scalable digital ecosystem that enhances collaboration between designers and consumers.
03
Built an intelligent candidate screening and evaluation system that analyzes candidate profiles and resumes to assist recruiters in identifying the most suitable applicants.
Python · NLP · Machine Learning · Scikit-Learn · Pandas
Result: Reduced manual screening efforts and improved recruitment efficiency through data-driven evaluation.
04
Developed an AI-powered Anti-Money Laundering and Counter-Terrorism Financing detection framework capable of identifying suspicious financial transactions while maintaining privacy and security.
Python · Random Forest · XGBoost · Autoencoder · Scikit-Learn
Result: Improved anomaly detection capabilities and enhanced financial security through intelligent monitoring.
Experience Highlights
Where I create value across the data lifecycle.
Data Analysis
Machine Learning
Business Intelligence
Artificial Intelligence
Data Visualization
Problem Solving
Achievements
A focused growth path across AI, projects, and applied learning.
AI & Data Science Projects
Built applied projects covering analytics, candidate evaluation, financial anomaly detection, and platform development.
Technical Certifications
Continuously strengthening foundations in data analysis, machine learning, visualization, and modern development workflows.
Academic Achievements & University Projects
Pursuing B.E. Computer Science Engineering with Artificial Intelligence specialization at Chitkara University.
Hackathons and Competitions
Comfortable solving ambiguous problems under constraints, communicating insights, and iterating quickly from idea to prototype.