Tushar Kini

Data Scientist

Atlanta, Georgia, United States3 yrs 1 mo experience

Most Likely To SwitchAI Enabled

Key Highlights

Expertise in Data Science and Machine Learning.
Proven success in enhancing data pipeline efficiency.
Significant impact on revenue growth through data-driven insights.

Stackforce AI infers this person is a Data Science and Engineering professional with a focus on SaaS and Fintech solutions.

Contact

tusharpkini@gmail.com LinkedIn

Skills

Core Skills

Data ScienceSoftware DevelopmentData EngineeringMachine Learning

Other Skills

AnsibleC++Data AnalysisData StructuresData VisualizationData WranglingDeep LearningDevOpsDocker ProductsGitGoogle Cloud Platform (GCP)Google Cloud ToolsJavaJupyterLarge Language Model Operations (LLMOps)

About

Aspiring collaborative and self starter technology enthusiast with strong technical foundations and a passion for innovation, seeking to expand my skills in the real-world intersection of software development, cloud computing and data analytics. Actively searching for Spring 2024 Co-Op and full time roles starting May 2024.

Experience

3 yrs 1 mo

Total Experience

1 yr

Average Tenure

1 yr 10 mos

Current Experience

Cogitate

Data Scientist

Jul 2024 – Present · 1 yr 10 mos · Atlanta, Georgia, United States · On-site

Working on LLM use cases disrupting the Insure Tech Industry

Large Language Models (LLM)Data ScienceSoftware Development

Klugheit software

2 roles

Data Engineer

Jan 2022 – Jul 2022 · 6 mos · Pune, Maharashtra, India

Part of the team responsible to upgrade and make a robust and resilient data pipeline for the company’s real time product engagement service ‘Tiger’.
Implemented successful POC into the production pipeline using Python, MongoDB and Google Cloud Tools leading to speedup of about 25% in preprocessing time

PythonMongoDBGoogle Cloud ToolsData Engineering

Data Science Intern

Sep 2021 – Jan 2022 · 4 mos · Pune, Maharashtra, India

Used the Lifetimes package to predict the Customer Lifetime Value for an e-commerce website selling apparel.
Gave insights to the owner on important loyal customers that could potentially bring in large revenue in the future
The output helped the owner target advertisements to these users and increase revenue 1000% within a year.

Lifetimes packageData AnalysisData Science

Atos syntel

Machine Learning Intern

Jan 2020 – Jun 2020 · 5 mos · Mumbai, Maharashtra, India · On-site

Independently developed a Proof of Concept for a leading credit card issuer in the US to determine which of its merchants may stop accepting their cards in the future.
Built the model using Python and Scikit-Learn which identified about 60% of such merchants who had stopped accepting the company’s cards based on historical data.
Used plotting libraries like Matplotlib Seaborn to generate plots to effectively present and communicate insightful conclusions to stakeholders.

PythonScikit-LearnMatplotlibSeabornMachine Learning