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Nikunj Sonule

Nikunj Sonule

Strategic data leader

Gurugram
80
Profile Score

About

Strategic data leader adept at bridging the gap between complex analytics and business goals. Experienced in managing end-to-end predictive modeling projects and cross-functional partnerships to ensure data accuracy. Focused on transforming raw data into high-impact insights that fuel business growth and efficiency.

Skills & Expertise (37)

Python Advanced
8.1/10
3
Years Exp
Machine Learning Advanced
7.9/10
3
Years Exp
Data Science Pipeline Advanced
7.5/10
3
Years Exp
Google Colab Business Requirements Document Sypder IDE Visual Studio Code Statistics Hypothesis Testing Advanced Excel Tableau Qlik Sense Microsoft Power BI DAX Queries Pivot Tables Macros Google Sheets Business KPI Functional Specification Document NumPy Linear Regression Logistic Regression Decision Trees K-Nearest Neighbors Support Vector Machines K-Means Clustering Principal Component Analysis Times Series Analysis Jupyter Notebook Pandas Matplotlib Seaborn scikit-learn SciPy Plotly Postgresql MySql

Work Experience

Associate DataOps

Consilio LLC

Nov 2022 - Jan 2023

Managed eDiscovery projects for clients in a variety of industries, overseeing all phases of the EDRM process, from collection through project management. Strong technical skills, including experience with Relativity, Sightline (Data visualization). Utilized Relativity and Sightline to process and review large volumes of electronic documents, ensuring accuracy and completeness of data. Designed and implemented data analysis methodologies to identify key documents and provide strategic insights to legal teams.

Analyst (PRODUCTION)

UnitedLex

Aug 2023 - Present

Analyzed large volumes of case data within e-discovery platforms, ensuring accurate data processing, review readiness and high quality productions aligned with client and legal data requirements. Built data summaries, dashboard and visual reports using Everlaw visualization tool, helping legal teams identify trends, prioritize review sets and make data driven decisions. Collaborated with cross-functional teams to streamline workflows, validate data integrity, and troubleshoot complex data issues to improve turnaround time and operational efficiency.

Data Science Apprenticeship

Alambetter

Aug 2021 - Sep 2022

Developed automated reporting and visualizations using Python (Pandas, NumPy, Matplotlib, Seaborn) to identify procedural improvements and boost profitability. Created a book recommendation system using Unsupervised Machine Learning (SVD) and built a production-level Logistic Regression model achieving a 98% ROC-AUC. Optimized Regression algorithm (Lasso, Ridge, Random Forest) to predict health insurance trends reaching an 84% adjusted R square.

Education

Bachelor degree, Information Technology - Prof Ram Meghe Institute of Technology & Research

2017 - 2021 · Afghanistan

Science, Computer Science - Sardar Patel College

2016 - 2017 · Afghanistan

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 5/15
💰 Rate 0/5
🏆 Certs 0/5
Verified 5/5
Total Score 80/100

Profile Overview

Member sinceFeb 2026

Availability Details

Visa Status

Need Sponsorship

Relocation

Open to Relocation

Skills (37)

Python Machine Learning Data Science Pipeline Google Colab Business Requirements Document Sypder IDE Visual Studio Code Statistics Hypothesis Testing Advanced Excel +27 more