Hi, I'm Saksham

B.Tech in AI | Data Engineer | Machine Learning Enthusiast

Specialized in Data Analysis, Machine Learning, and Data Engineering. Passionate about building AI-driven applications and solving real-world problems through data-driven approaches.

01 — ABOUT

Who I am

I'm a B.Tech undergraduate specializing in Artificial Intelligence from Bansal Institute of Engineering and Technology, Lucknow. I have hands-on experience in Data Analysis, Machine Learning, and Data Engineering.

Currently a Data Engineering Trainee at HCL-Tech where I work with ETL pipelines, Apache Spark, and data warehousing technologies. I've also interned at Elevate Labs as a Data Analyst, contributing to real-world data analysis and business intelligence projects.

I'm skilled in Python, SQL, Power BI, and data visualization tools. I have practical exposure to predictive analytics, business intelligence solutions, and building production-grade data pipelines.

My goal is to leverage data-driven approaches to solve real-world problems and build scalable AI solutions that create meaningful impact.

📍 Location: Lucknow, Uttar Pradesh, India

📧 Email: sakshampathak0712@gmail.com

📱 Phone: +91 9219390051

📊 Data Engineer & ML Enthusiast
6m

Professional Experience

5+

Projects Completed

2

Certifications

02 — PROJECTS

Featured Projects

American Sign Language Detector

May 2023

Real-time ASL recognition system using CNN

PythonOpenCVTensorFlowCNN
  • Developed a real-time ASL recognition system capable of identifying hand gestures using machine learning.
  • Trained a Convolutional Neural Network (CNN) model on labeled gesture datasets for accurate prediction.
  • Built a webcam-based application that converts recognized gestures into readable on-screen text.

Smart Attendance System

Jan 2024

Hybrid facial recognition and QR code scanning system

PythonOpenCVSQLiteFace Recognition
  • Designed a hybrid attendance system integrating facial recognition and QR code scanning.
  • Integrated OpenCV and SQLite for automated student data capture and attendance management.
  • Enabled real-time tracking and duplicate-entry prevention for enhanced attendance authenticity.

IBM HR Analytics – Employee Attrition Prediction

2025

Interactive dashboards for employee attrition analysis

PythonSQLPower BIData Analysis
  • Performed data cleaning, exploratory data analysis, and feature analysis using Python and Excel.
  • Developed optimized SQL queries for efficient data extraction and transformation.
  • Built interactive Power BI dashboards to visualize employee attrition trends and HR KPIs.

03 — EXPERIENCE

Where I've worked

Data Engineering Trainee

HCL-Tech

Oct 2024 – Mar 2025

Remote

  • Completed intensive training on ETL pipelines, data warehousing, and big data technologies.
  • Worked with Apache Spark and Python for data extraction, transformation, and loading processes.
  • Implemented data quality validation and monitoring processes to ensure pipeline reliability.

Data Analyst Intern

Elevate Labs

Aug 2025 – Sep 2025

Remote

  • Contributed to real-world data analysis and reporting projects for business insights generation.
  • Applied analytical techniques to interpret datasets and support data-driven decision-making.
  • Recognized for strong analytical ability, commitment, and professional conduct during internship.

04 — SKILLS

Technical Skills

Programming Languages

PythonSQLRCHTML/CSS

Libraries & Frameworks

PandasNumPyMatplotlibOpenCVTensorFlow

Data Analysis Skills

Data CleaningEDAFeature EngineeringData VisualizationPredictive Modeling

BI & Visualization Tools

Power BITableauMS Excel

Databases

MySQLSQLite

Tools & Platforms

Jupyter NotebookVS CodeGoogle Cloud PlatformGit

05 — EDUCATION

Education & Certifications

Bachelor of Technology - Computer Science & Engineering (AI)

Bansal Institute of Engineering and Technology

Lucknow, Uttar Pradesh, India | 2022 – 2026

Certifications

Python Certification

Kaggle2025

R for Data Analysis

Coursera2025

06 — CONTACT

Let's Connect

I'm always interested in hearing about new projects and opportunities. Feel free to reach out!