Shiwanshu .

Co-Founder

Bengaluru, Karnataka, India2 yrs experience

Highly Stable

Key Highlights

Developed predictive models with 96% accuracy.
Created analytics tools reducing report time by 20%.
Scraped and managed data from multiple platforms.

Stackforce AI infers this person is a Data Science and Machine Learning professional with strong backend development skills.

Contact

shiwanshurahul@gmail.com LinkedIn

Skills

Core Skills

PythonData ManagementMachine LearningData Analysis

Other Skills

Node.jsREST APIsPython (Programming Language)SQLLLMSoftware DevelopmentMySQLObject-Oriented Programming (OOP)PostgreSQLPySparkLinuxGitShell ScriptingDebuggingSoftware Testing

About

An year+ experience with Python, SQL, Pandas, AWS, Data Analytics and Jenkins. Passionate about developing robust and real time systems. Machine Learning enthusiast. A learner, likes solving problems efficiently through technology.

Experience

2 yrs

Total Experience

2 yrs

Average Tenure

Current Experience

Dream stage

2 roles

Founding Engineer Backend and Data Management

Oct 2025 – Nov 2025 · 1 mo

Scraped data from Bookmyshow, Instagram, District, Sortmyscene utilizing LLM.
Owned cleaning, filtering and merging data with Pandas and Join operation.

Node.jsREST APIsPython (Programming Language)SQLLLMPython+1

Founder

Oct 2025 – Nov 2025 · 1 mo

Implemented features, bug tests and scraped data from Instagram, Bookmyshow, District utilizing LLM for lead generation.
Conducted cleaning, analysis and data merge operation with Pandas and SQL Join.

Fico

4 roles

Analytic Science Associate

Jul 2024 – May 2025 · 10 mos

Worked with Python, Pyspark framework, ML development lifecycle, SQL, Docker, AWS and Linux.
Developed an end to end platform on SageMaker allowing users to generate Predictive models with Python and AWS CLI.
Built an analytics tool with Python and Pyspark capability generating pdf report of various analysis like histogram, box-plot, correlation, scatterplot, frequency, reducing manual report time by 20%.
Contributed to all stages of ML Development lifecycle of classification based fraud detection model including Data preprocessing, EDA, Feature Engineering, Model training and deployment.
Migrated existing Python template into newer object oriented Python version with unit testing via pytest.
Managed IAM roles and policies for AWS resources.

Software DevelopmentMySQLObject-Oriented Programming (OOP)PostgreSQLPySparkPython (Programming Language)+15

Analytics Specialist

Jul 2024 – May 2025 · 10 mos

Built a generic tool that generates analysis report on dataset with numerous EDA techniques including histogram, box-plot, frequency and correlation leveraging Pyspark, Pandas and SQL.
Migrated existing templates in Python into new version with object oriented structure and unit testing with pytest.
Owned all stages of ML development lifecycle including preprocessing, EDA, Feature selection, Model training and deployment for classification based fraud detection model.

Analytic Science Intern

May 2023 – Jul 2024 · 1 yr 2 mos

Applied Python, Ipywidgets, Java, Junit, AWS and docker.
Developed a Python based platform for generating Scoring models based on customer profile using Collaborative Profiling approach.
Derived valuable insights and analysis of the input data using various Matplotlib plots and pandas library.
Achieved test data training accuracy of 95 percent.
Implemented feature writing in Java following the OOP as well as Junit test cases for validating and testing code coverage.

Software DevelopmentObject-Oriented Programming (OOP)Python (Programming Language)GitDebuggingJSON+6

Analytics Specialist

May 2023 – Jul 2024 · 1 yr 2 mos

Developed a Python based platform with s3 access to allow users to create and train Predictive models with 96% accuracy.
Increased system performance by 20% via script on an AWS Processor and managed IAM roles and policies for resources.
Contributed to core engineering tasks including feature development, documentation, bug bounty and automated Jenkins pipeline.