Suresh Sonwane

Data Scientist

https://talent.gravityer.com/suresh-sonwane

Do something new everyday.

Member since June 23, 2026

Key Strengths

Strong foundational knowledge in Python for data science and machine learning.
Demonstrated ability to implement various data structures and algorithms.
Experience with Natural Language Processing (NLP) concepts, including RAG, word2vec, RNN/LSTM.
Practical experience in building recommendation systems and search engines.
Proactive in personal projects, indicating self-driven learning and application.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and focus heavily on individual technical implementations. While demonstrating initiative, there is no evidence of team collaboration or diverse project types that would indicate strong cultural fit in a collaborative, product-oriented environment. The experience level is 0, suggesting a lack of professional experience.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

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Assessing your cultural and operational fit

Projects

zenpdf

March 6, 2026 – Present

Serene local PDF Q&A with RAG using Ollama & LangChain. Chat with your documents offline.

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interview_prep

March 1, 2026 – Present

contains data to prep for senior level tech interviews

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pdf_parser

January 21, 2026 – Present

Comparison: Traditional pdf parser vs AI based pdf Parser

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askdoc-local

June 21, 2025 – June 25, 2025

⚡️ Local RAG API using FastAPI + LangChain + Ollama | Upload PDFs, DOCX, CSVs, XLSX and ask questions using your own documents — fully offline!

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rfm

February 13, 2022 – March 2, 2022

Python Package for RFM Analysis and Customer Segmentation

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data-structures-implementations

March 8, 2021 – March 8, 2021

implemented in pure python: stack, queue, linked list, hash table, heap, tree, binary tree, binary search tree

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popularity-based-recommender

December 20, 2020 – December 20, 2020

Popularity based movie recommendation system on MovieLens

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elastic-search-engine-netflix

December 9, 2020 – December 9, 2020

elasticsearch engine built on the top of netflix dataset to retrieve data from query such as 'cast', 'description', 'director', 'duration', 'rating', 'title' etc

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information_retrieval_system

October 1, 2020 – October 1, 2020

Information Retrieval System powered by word2vec for similarity matching of word vectors of queries and documents.

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text_classification_with_rnn_lstm

October 1, 2020 – October 1, 2020

Text classification using RNN/LSTM models on SMS spam collection dataset

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Key Strengths

Strong foundational knowledge in Python for data science and machine learning.
Demonstrated ability to implement various data structures and algorithms.
Experience with Natural Language Processing (NLP) concepts, including RAG, word2vec, RNN/LSTM.
Practical experience in building recommendation systems and search engines.
Proactive in personal projects, indicating self-driven learning and application.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Suresh Sonwane

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit