Prakhar Jain

Data Scientist

Dhanbad, Jharkhand, India7 yrs 5 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Over 3 years of experience in Data Science solutions.
Expert in developing Machine Learning and Computer Vision projects.
Proven track record in improving business processes through data analysis.

Stackforce AI infers this person is a Data Science professional with a focus on Fintech and Automotive industries.

Contact

Skills

Core Skills

Data AnalyticsMachine LearningData ProcessingData AnalysisBusiness AnalyticsData ScienceArtificial Intelligence (ai)Predictive ModelingBusiness AnalysisComputer VisionDeep Learning

Other Skills

Analytical SkillsAnalytical SolutionsAnalyticsArtificial Neural NetworksBusiness InsightsC (Programming Language)CommunicationComputer ScienceConvolutional Neural Networks (CNN)Critical ThinkingDashboardData ManipulationData MiningData ModelsData Visualization

About

Summary - More than 3 years of experience in designing, developing and deploying Data Science solutions. - Hands-on experience in building multiple Machine Learning models and Computer vision projects. Technical Experience - Worked with multiple Machine learning (Supervised and Unsupervised problems), Computer vision projects along with Multivariate time series analysis (LSTM). Worked on various Technical and business projects listed below: - Autonomous Car with Carla Simulation (Yolo-v3) - Forecasting of Demand in Automotive OEM - Face detection using YOLO. - GRE Admission Predictor (Linear Regression) - Flipkart Review Scrapper Toolkit: - Python (Numpy, Pandas, Matplot lib, Seaborn) - Excel - Power BI - R - SQL, NoSQL(Mongo DB)

Experience

7 yrs 5 mos

Total Experience

1 yr 3 mos

Average Tenure

3 yrs

Current Experience

Fibe.india (formerly earlysalary)

2 roles

Senior Data Scientist (Deputy Manager)

Promoted

Apr 2025 – Present · 1 yr 2 mos

Data Scientist

Jun 2023 – Apr 2025 · 1 yr 10 mos

Sundaram finance limited

Data Scientist

May 2022 – Jun 2023 · 1 yr 1 mo

Collection Model ( Scorecard) :
> I developed and implemented a collection model using machine learning techniques to improve payment collection efficiency. By analyzing data and employing statistical modeling, the model accurately predicted collections, prioritized them, and identified potential risks. To ensure quick and accurate data analysis, I implemented a real-time data processing system. The collection model was successfully integrated into various business processes, resulting in improved decision-making and streamlined workflow. This project showcased my expertise in machine learning, data processing and storage, Python and SQL programming, business process integration, and performance optimization.
Improve conversions of Enquiry to Application:
> I utilized Power BI, Python, and SQL to mine, analyze, and visualize data in order to improve the conversion rates of enquiries to applications. Through in-depth data analysis, I identified areas for improvement and implemented new processes and technologies. This resulted in a 4% increase in conversion rates. I collaborated with cross-functional teams to integrate solutions and ensure successful adoption. This project showcased my expertise in data analysis, visualization, segmentation, project management, and the effective utilization of advanced tools to drive business results.
IRR Recommender and Important Features:
> In collaboration with the software development team, I developed a Python and Flask code for an IRR Recommender system. The code identified the top 3 negative important features in the event of an application rejection and saved the data in an SQL database. The system calculated and generated the Internal Rate of Return (IRR) for both the company and the customer, providing valuable insights for decision-making. By delivering a reliable and robust solution, I contributed to the overall success of the project and improved the application process.

VisualizationBusiness InsightsRecommender SystemsData AnalyticsNlpData Manipulation+16

Quaerere - analytics club dms iit(ism) dhanbad

Coordinator

Jan 2022 – May 2022 · 4 mos

Recommender SystemsImage ProcessingMathematicsProgrammingNatural Language Processing (NLP)Business Analytics+4

Capgemini

Data Analyst

Oct 2021 – Dec 2021 · 2 mos

Forecasting of Demand in Automotive OEM:
> Conducted research to identify correlations between independent and dependent variables, including market trends and product demand.
> Utilized advanced statistical techniques to develop a demand forecasting model that predicts future demand trends based on the identified correlations.
> Contributed to the success of the proof of concept project by delivering a reliable and robust solution that provides valuable insights into market trends and enables the organization to make informed decisions.

VisualizationData AnalyticsBusiness AnalysisJupyterMathematicsData Manipulation+18

Ineuron.ai

Data Scientist

May 2021 – Aug 2021 · 3 mos

Autonomous Car with Carla Simulation(Yolo-v3):-
>Implemented the YOLO-v3 object detection algorithm to accurately detect and classify objects in the car's environment, including other vehicles, pedestrians, and road signs.
> Utilized computer vision techniques to process and analyze video feeds from cameras mounted on the car, and used the resulting information to guide the car's movement.
> Contributed to the development of a fully autonomous car that can safely navigate roads and make driving decisions based on realtime data from its environment.
> Improved the overall functionality and safety of autonomous vehicles by demonstrating the feasibility of using computer vision and deep learning techniques in the development of autonomous cars.