Omkar Dicholkar

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Omkar's Portfolio

View the Project on GitHub OmkarDich08/Portfolio

Biomedical Engineer/Data Analyst

Technical Skills: Python, SQL,PowerBI,MS Office, MATLAB, Keil uCompiler, Proteus Simulation, ABAQUS CAE, AutoCAD, Solidworks, LaTex

Education

Work Experience

Biomedical Engineeer @ Tata Memorial Hospital (M/s. PSAS), Mumbai (July 2022 - Present)

Sales & Application Engineer @ Modimedicare, Mumbai (Feb 2021 - June 2022)

Executive Cyclotron Operator @ Nueclear Healthcare Pvt Ltd, Navi Mumbai (Nov 2019 - Aug 2020)

Sales & Service Support Executive @ MedTech India, Mumbai (Feb 2019 - Nov 2019)

Sales and Service Engineer @ Trivitron Healthcare Pvt Ltd, Navi Mumbai (Oct 2015 - Dec 2015)

Executive Field Service Engineer @ Healthware Pvt Ltd, Mumbai (Apr 2015 - Aug 2015)

Projects

Advanced Excel project on Call Centre Data

Produced Data-driven insights and actionable recommendations based on sentiment analysis and root cause identification. Used Real-time monitoring dashboard for tracking all the Project Goals. Tools used- MS Excel with Dashboarding

PowerBI project on analyzing Airbnb Data

Revealed insights into user experiences and satisfaction levels with the numerous listed stays. Goals- Assessing District Location Scores, Examining Host Response Time Impact, Visualizing Airbnb Listing Prices, Analyzing Composite Scores, Calculating Listing Age and Host Tenure, Property Type Price Analysis, Crafting a Comprehensive City Insights Report. Tools used- MS Excel & MS PowerBI

SQL Data Analysis and Visualization with Power BI project for FDA Drug data.

Scripted queries for Identifying approval trends, Segmentation Analysis Based on Drug Marketing Status, Analysing Products, Exploring Therapeutic classes & Approval trends. Used Power BI for visualizations of certain project goals. Tools used- MySQL & MS PowerBI

Python to conduct an end-to-end Exploratory Data Analysis (EDA) on the Bank Telemarketing Data.

Performed analysis on campaign dataset, identifying patterns and providing insights to improve the positive response rate. The analysis involved examining customer demographics, temporal trends, and other factors influencing the success of the campaign, ultimately offering recommendations for targeted improvements in the bank’s marketing strategy. Tools used- Python/Jupyter Notebook

Certifications