ABOUT

MORE ABOUT ME

Kuldeep Bhardwaj

Backend Developer & ML Enthusiast

Building robust, scalable solutions with a passion for clean code and data-driven insights.

My journey began as an Electrical Engineering student at IIT Delhi, where a deep curiosity for technology led me to the world of computer science. I quickly developed a passion for software development, diving into data structures, algorithms, and machine learning.

During my internship, I gained hands-on experience in Data Analysis and Natural Language Processing, where I built and deployed NLP pipelines, automated performance tracking, and streamlined data workflows using cloud technologies like AWS. This experience solidified my interest in backend systems and data-intensive applications.

My passion for Backend Development, Machine Learning, and Data Science drives me to continuously learn and adapt. I am committed to building secure, high-performance solutions that solve complex problems and deliver tangible value. ๐Ÿš€

Skills

Python 95%
Java 60%
C++ 70%
SQL 70%
AWS (EC2, S3, Lambda) 80%
Git & GitHub 85%
TensorFlow & PyTorch 75%
Scikit-learn 80%
Pandas & NumPy 95%
Streamlit 80%
MongoDB 75%
Postman 80%

LEETCODE ACTIVITY

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TECH-INTERESTS

PythonPython
JavaJava
C++C++
TensorFlowTensorFlow
PyTorchPyTorch
Scikit-learnScikit-learn
AWSAWS
MySQLMySQL
MongoDBMongoDB
GitGit
GitHubGitHub
VSCodeVS Code
PostmanPostman
NumPyNumPy
PandasPandas
MATLABMATLAB
EclipseEclipse
JupyterJupyter
SolidworksSolidworks
MatplotlibMatplotlib
StreamlitStreamlit

Interests

Coding & Competitive Programming

Music

Gaming

Movies/Series

Machine Learning & AI

Emerging Technologies

Formula Racing & EVs

Electronics & Hardware Tinkering

Resume

CHECK MY RESUME

Summary

Kuldeep Bhardwaj

Detail-oriented and motivated B.Tech graduate from IIT Delhi with a strong foundation in Electrical Engineering and Computer Science. Proficient in backend development, machine learning, and data analysis, with hands-on experience in building robust applications. Seeking to leverage skills in Python, Java, and cloud technologies to solve complex problems and contribute to a dynamic team.

  • Mount Abu, Rajasthan | INDIA

Education

B.Tech in Electrical Engineering (Power & Automation)

2018 - 2023

Indian Institute of Technology (IIT), Delhi

CGPA: 5.55

Relevant Courses: Data Structures & Algorithms, Digital Signal Processing, Machine Learning, Digital Electronics, Probability & Stochastic Processes

Senior Secondary School (RBSE)

2017

Shiv Jyoti Senior Secondary School, Kota

Percentage: 87.60%

Secondary School (RBSE)

2015

Shree Rajeshwar Vidya Mandir, Mandar

Percentage: 93.17% | Secured 5th rank in district

Scholastic Achievements

Joint Entrance Examination (JEE)

  • JEE Advanced (2018): Secured AIR 2991 out of 2 lakh students
  • JEE Mains (2018): Secured AIR 7692 out of 12 lakh students

Professional Experience

Data Analyst Intern

May 2021 - July 2021

AdCity Mart Pvt. Ltd. | Delhi, India

  • Built a BERT-based NLP pipeline for topic modeling of customer feedback, boosting sentiment detection accuracy by 35%
  • Automated agent performance tracking using Pandas & NumPy, reducing manual analysis time by 70%
  • Deployed scalable workflows with AWS (S3, Lambda), streamlining data pipelines and improving data handling efficiency
  • Engineered a like/dislike feedback system, increasing customer feedback by 60% and cutting unresolved queries by 25%

Projects

Retail Product Recommendation System

Machine Learning Recommender Systems
  • Built a hybrid system integrating Collaborative Filtering, Matrix Factorization, and Content-Based ML
  • Developed a modular ML pipeline for preprocessing, training, and evaluation on 200K+ records

Credit Card Fraud Detection

Deep Learning Model Interpretability
  • Constructed a robust deep learning fraud detection system using PyTorch/TensorFlow on 100K+ transactions
  • Addressed <1% class imbalance using SMOTE and applied SHAP/LIME for model interpretability
  • Evaluated models with ROC-AUC and Precision-Recall and applied SHAP/LIME to explain key fraud drivers

Urban Mobility Data Analysis

Time-Series Forecasting
  • Analyzed Uber ride data to uncover spatiotemporal demand patterns, peak hours, and location trends
  • Built time-series forecasting models with a Streamlit dashboard to predict and visualize ride demands
  • Implemented data pipelines with Pandas and SQL for cleaning, storage, querying, and geospatial visualization for insights
View Full Resume

CONTACT

CONTACT ME

My Location

Rajasthan, India ๐Ÿ‡ฎ๐Ÿ‡ณ |

Call Me

+91 77268 16102

CONNECT

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Hello there! ๐Ÿ‘‹

Thanks for dropping by โ€” it means a lot! ๐Ÿ™Œ

๐Ÿ’ก Got questions, ideas, or just curious? Iโ€™m all ears! ๐Ÿงโ€โ™‚๏ธโœจ

๐Ÿค Open to collabs, feedback, or tech talk anytime! ๐Ÿ”ง๐Ÿ’ฌ

๐Ÿ“ฉ Slide into my inbox โ€” letโ€™s connect! ๐Ÿš€๐Ÿ’ป

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