Pulkit Khaneja

Data Analyst | Machine Learning Engineer | Business Intelligence

India 0+ yrs exp 81 · Excellent

About

Results-driven Data Analyst with hands-on experience in Python, SQL, Machine Learning, Power BI, Tableau, and Statistics. Experienced in transforming large datasets into actionable business insights through predictive modeling, dashboard development, and data-driven decision-making. Strong foundation in analytics, machine learning, business intelligence, and data engineering.

Skills & Expertise (30)

SQL Intermediate

7.5/10

Years Exp

Python Intermediate

7.5/10

Years Exp

Pandas Intermediate

7.0/10

Years Exp

Excel Intermediate

7.0/10

Years Exp

MySql Intermediate

7.0/10

Years Exp

Feature Engineering Intermediate

6.5/10

Years Exp

Matplotlib Intermediate

6.5/10

Years Exp

Data Cleaning Intermediate

6.5/10

Years Exp

Model Evaluation Intermediate

6.5/10

Years Exp

EDA Intermediate

6.5/10

Years Exp

Git Intermediate

6.5/10

Years Exp

scikit-learn Intermediate

6.5/10

Years Exp

NumPy Intermediate

6.5/10

Years Exp

Machine Learning Intermediate

6.5/10

Years Exp

Power BI Intermediate

6.5/10

Years Exp

Postgresql Intermediate

6.0/10

Years Exp

Statistics Intermediate

6.0/10

Years Exp

Regression Intermediate

6.0/10

Years Exp

Classification Intermediate

6.0/10

Years Exp

Clustering Intermediate

6.0/10

Years Exp

Hypothesis Testing Intermediate

6.0/10

Years Exp

A/B testing Intermediate

6.0/10

Years Exp

Probability Intermediate

6.0/10

Years Exp

Statistical Analysis Intermediate

6.0/10

Years Exp

Data Validation Intermediate

6.0/10

Years Exp

Flask Beginner

5.5/10

Years Exp

Streamlit Beginner

5.5/10

Years Exp

Cohort Analysis Beginner

5.5/10

Years Exp

Tableau Beginner

5.5/10

Years Exp

PyTorch Beginner

5.5/10

Years Exp

Work Experience

AI/ML Research Intern

Centre for Development of Advanced Computing (C-DAC)

Jan 2026 - May 2026

Developed a word-level text segmentation pipeline using Hi-SAM on 318 annotated document images. Built end-to-end annotation, preprocessing, training, and evaluation pipelines. Applied Dice Loss and Focal Loss to improve segmentation performance. Evaluated models using IoU, Precision, Recall, and F1-Score metrics. Implemented OpenCV-based post-processing for word extraction and document analysis.

Machine Learning Intern

Truminds Software Systems

Jul 2025 - Sep 2025

Processed and analysed 50K+ satellite imagery records using Python and SQL. Improved data pipeline efficiency by 25%. Increased model accuracy from 72% to 82% through feature engineering. Built Power BI dashboards to communicate model insights to stakeholders. Automated preprocessing workflows reducing manual effort by 35%.

Cybersecurity Intern

National Informatics Centre (NIC)

Jun 2024 - Jul 2024

Analysed 10K+ security logs and identified anomalies using Python and SQL. Detected multiple authentication vulnerabilities and generated risk assessment reports. Supported security analysis and incident response activities.