Samiksha Solanke

Data Scientist

https://talent.gravityer.com/samiksha-solanke

Trying to code stuff

IndiaMember since June 12, 2026

Key Strengths

Demonstrated interest in AI/ML and data science through multiple personal projects (LLM-Hallucination-Detection-Pipeline, Telcom-Customer-Churn-Predictor, Conversational-AI-for-Digital-Payment-Analytics, RAG-Assistant, Intelligent-Research-Paper-Analysis-and-Recommendation-System, AI-Powered-Data-Cleaning-Pipeline).
Proficiency in Python, a core language for Data Scientists, as evidenced by its use across almost all projects.
Experience with Jupyter Notebooks, a standard tool for data exploration and model development.
Exposure to various AI/ML concepts including LLMs, RAG, predictive modeling, and data cleaning pipelines.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio indicates a strong inclination towards individual contribution and exploration of diverse technical areas. The projects are primarily personal, suggesting self-motivation and a proactive learning approach. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration skills or fit within a structured team environment. The breadth of technologies used across projects (Python, JavaScript, TypeScript, HTML, CSS, C++, Cython) suggests adaptability and a willingness to learn new tools, which can be a positive cultural attribute.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.

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Projects

LLM-Hallucination-Detection-Pipeline

June 11, 2026 – Present

LLM-Hallucination-Detection-Pipeline — GitHub repository

View Project

Telcom-Customer-Churn-Predictor

June 1, 2026 – Present

Telcom-Customer-Churn-Predictor — GitHub repository

View Project

Conversational-AI-for-Digital-Payment-Analytics

May 8, 2026 – Present

Conversational-AI-for-Digital-Payment-Analytics — GitHub repository

View Project

RAG-Assistant

May 8, 2026 – Present

RAG-Assistant — GitHub repository

View Project

Intelligent-Research-Paper-Analysis-and-Recommendation-System

March 11, 2026 – Present

An AI-powered platform designed to help researchers quickly navigate, analyze, and understand large volumes of academic literature.

View Project

SamikshaSolankeWebsite

January 26, 2026 – Present

SamikshaSolankeWebsite — GitHub repository

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algorand

January 10, 2026 – Present

algorand — GitHub repository

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College-Placement-Helper

December 18, 2025 – Present

College-Placement-Helper — GitHub repository

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FindABook

December 11, 2025 – December 12, 2025

FindABook — GitHub repository

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AI-Powered-Data-Cleaning-Pipeline

December 10, 2025 – Present

AI-Powered-Data-Cleaning-Pipeline — GitHub repository

View Project

Key Strengths

Demonstrated interest in AI/ML and data science through multiple personal projects (LLM-Hallucination-Detection-Pipeline, Telcom-Customer-Churn-Predictor, Conversational-AI-for-Digital-Payment-Analytics, RAG-Assistant, Intelligent-Research-Paper-Analysis-and-Recommendation-System, AI-Powered-Data-Cleaning-Pipeline).
Proficiency in Python, a core language for Data Scientists, as evidenced by its use across almost all projects.
Experience with Jupyter Notebooks, a standard tool for data exploration and model development.
Exposure to various AI/ML concepts including LLMs, RAG, predictive modeling, and data cleaning pipelines.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.

Samiksha Solanke

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit