Rounak Kundu

Business Analyst

Kolkata, West Bengal, India3 yrs 10 mos experience

Key Highlights

2+ years of experience in data analytics and machine learning.
Proficient in Python, SQL, and MATLAB for data-driven solutions.
Published research on object detection algorithms in IEEE conference.

Stackforce AI infers this person is a Data Analyst with expertise in Automotive and Machine Learning.

Contact

rounak.kundu97@gmail.com LinkedIn

Skills

Core Skills

Data AnalysisMachine Learning

Other Skills

A/B TestingAnalyticsAnsys MaxwellArduinoBayesian OptimizationCChurn AnalysisComputer VisionCorrelation AnalysisCredit Risk ManagementData CleaningData IntegrationData ProcessingData ScienceData Visualization

About

Data Analyst with 2+ years of experience in data analytics, machine learning, and business insights. Proficient in Python, SQL, and MATLAB, with a strong background in predictive modeling, statistical analysis, and designing A/B tests. Experienced in uncovering actionable insights and developing data-driven solutions to support business growth. Skills: Programming Languages: Python, SQL, MATLAB Machine Learning: Regression, Classification, Clustering, Neural Networks, Boosting Deep Learning: YOLO, SSD, TensorFlow, Keras Data Visualization: PowerBI, Excel, Matplotlib Statistical Analysis: Hypothesis Testing, Predictive Modeling Data Engineering: ETL Pipelines, Feature Engineering, Data Cleaning Simulation Tools: Ansys Maxwell, Simulink Publication - R.Kundu, S.Das, S.K.Mishra " A Comprehensive Review of Single and Double Stage Object Detection Algorithms in Self Driving” 2022 IEEE 7th International conference for Convergence in Technology (I2CT) Pune, India. Apr 07-09, 2022. Github - https://github.com/rounak97

Experience

3 yrs 10 mos

Total Experience

2 yrs 10 mos

Average Tenure

1 yr

Current Experience

Data labs - landmark group

Business Analyst

Jun 2025 – Present · 1 yr · Bengaluru, Karnataka, India

Detroit engineered products

Project Engineer

Aug 2022 – Jun 2025 · 2 yrs 10 mos · Chennai, Tamil Nadu, India · On-site

Directed data processing and analysis from 10+ sources to enhance predictive maintenance efforts in the automotive industry, particularly focusing on engine health.
Pre-processed industrial sensor data with normalization and outlier detection techniques, further enhancing model accuracy by 15%.
Implemented exploratory data analysis (EDA), data cleaning, categorical encoding, and scaling techniques, resulting in a 10% increase in model accuracy.
Designed over 10 robust features, reducing false positives by 20% and boosting overall model performance by 15%.
Integrated data from 10+ diverse sources for sales prediction using robust data cleaning, imputation, and standardization techniques in Pandas and Numpy.
Implemented Random Forest and XGBoost Regressor models, achieving R² scores of 0.65 and 0.75 respectively, with further performance gains through GridSearchCV optimization.
Conducted label encoding and feature scaling to prepare data for modeling and saved final models with the Joblib library for easy future retrieval and reuse.
Led finite element analysis (FEA) simulations for PMS motors, focusing on torque, ripple, force generation, and sensitivity analysis, using Ansys Maxwell to enhance simulation precision by 15%.
Benchmarked simulation results against industry leaders like Tesla and BYD, ensuring competitive performance.
Conducted market trend analysis across 50+ brands, driving targeted initiatives that led to a 5 CR GMV increase.
Executed comprehensive inventory analysis to optimize stock levels, contributing to a 12% revenue boost by minimizing overstock risks.
Delivered impactful data visualizations and presentations in PowerBI, improving sales team performance by 25% by clearly communicating actionable insights and trends.

Data ProcessingPredictive MaintenanceData CleaningExploratory Data AnalysisFeature EngineeringRandom Forest+6

The west bengal power development corporation limited (wbpdcl)

Trainee

Jan 2018 – Feb 2018 · 1 mo · Durgapur

1.Worked as a trainee and learnt about generation, distribution of power, detection of fault in generator and how to overcome it.
2. Planed layout of electric power generating plants , distribution lines and sub stations.
3. Designed, implemented, maintained electrical equipment's and systems for commercial, industrial and domestic purposes.