Business Analyst Machine Learning

NIDHI DUBEY +91-789******* *********@*****.*** Linkedin

Data Analyst with 3.3 years of experience in data-driven decision-making through Advanced analytics, Bi- Dashboarding, Visualization & Machine Learning, seeking to transition into a dynamic team, with expertise in Python, SQL, ML & Power-Bi. Technical Skills

• Languages: Python, SQL

• Tools & Platforms: Power-Bi, DAX, Google Big Query, Excel, KNIME, VS Code, Jira, Github, MS-Office

• Libraries & Frameworks: Pandas, Numpy, Scikit-Learn, tkinter, Plotly, MatplotLib, Dash, SQLAlchemy, Nltk

• Key Competencies: Decision Analytics, Business Intelligence, Machine Learning, ETL & Data pipelining Work Experience

Ohmium Operations Pvt. Ltd. Bangalore, Jan 2023 – April 2025

• Production Parameters Analysis: Implemented a data depiction system in Power-Bi to visualize real-time data from production units in order to track sudden variations in the data and implementing data-driven alerts through Power-Bi, thereby increasing production efficiency by 35%, reducing equipment failure costs by 20%.

• GUI for Data Collection & Centralization: Designed and deployed GUIs using tkinter library to facilitate stage-wise data collection, structured data consolidation & streamlined access, improving data consistency, retrieval rate & data accuracy by 25%.

• Dynamic Report Automation via .exe Integration: Automated dynamic visual report (built using Plotly) generation by integrating python scripts & power-point templates into standalone executable files (.exe) using auto-py-to-exe converter, reducing manual effort and cutting report creation time by over 95%. Lithium Urban Technologies Pvt. Ltd. Pune, Aug 2022 - Dec 2022

• Routing Mechanism Creation: Designed and implemented an optimal staff transportation routing mechanism, by utilizing Python & Excel to process pick-up & drop-off data, to minimize electricity consumption and operational costs using data- driven scheduling, giving the most optimal solution with minimum manual iterations, improving efficiency by 70%. Edelweiss Financial Services Pvt. Ltd. Mumbai, Mar 2021 - Dec 2021

• Customer Risk Segmentation: Developed an analytical risk assessment framework to categorize customers as good or bad, based on key financial parameters, improving loan approval decisions & risk mitigation rate by 35%, saving $86M.

• EMI Bounce Prediction Model: Built a bounce prediction model to identify high-risk customers likely to miss EMI payments, enabling targeted reminder calls, resulting in 20% reduction in bounce rates and 40% decrease in call centre costs.

• Power-Bi Sales Dashboard: Built a real-time Power BI Dashboard and deployed it to Power BI Service to monitor sales team performance and track key metrics, enhancing collaboration and increasing sales by 25%. Internship

Goals 101 Data Solutions Pvt. Ltd. Remote, May 2020 - Feb 2021

• Evaluated the scalability and automation capabilities of KNIME as an ETL tool and compared its performance against business requirements. Assessed its impact on workflow efficiency and decision-making and provided recommendations

• Built a model to predict future customer transactions in particular brands and subcategories, by Identifying purchase patterns and seasonality in the data, leading to better inventory planning & sales strategies. Education

• Post Graduate Program – Big Data and Visual Analytics June 2019 - Mar 2020 SP Jain School of Global Management, Mumbai, Maharashtra

• B. Engg. - Electronics and Communication May 2015 - Mar 2019 Shri Vaishnav Institute Of Technology and Science, Indore, M.P. Certifications

• Advanced SQL Certification - HackerRank covers data modelling, Indexing, window functions, and pivots in SQL

• Python and SQL Gold Badge - HackerRank validating proficiency in advance Python programming and problem-solving skills, complex SQL concepts, query optimization, and DBMS skills,

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