A/***, Garima Sadan, Ashish Complex, Dahisar

East, Mumbai, 400068, Maharashtra.

989-***-****

adicx3@r.postjobfree.com

Mrunal Yashvant Dalvi

LinkedIn: www.linkedin.com/in/mrunal-dalvi GitHub: https://github.com/Mrunald3 Tableau: https://tinyurl.com/y6kedfjh Skills

• Python - NumPy Pandas Matplotlib Seaborn Statistics Scikit-learn

• Exploratory Data Analysis

• SQL - DML/DCL/DDL commands, Subquery, Case Statements, Joins and Window Functions

• Data Visualization – Tableau & Power BI

• Machine Learning - Supervised (Regression, Classification), Unsupervised (Clustering), Advanced (Regularization Techniques, Ensemble Techniques)

• Microsoft Excel - Advance Formulas and Functions, Financial Functions, Lookup Functions, Data Visualization

• Microsoft Word & Microsoft PowerPoint

Professional Summary

Data Analyst Intern, Edelweiss Financial Services Feb 2020-May 2020 Project Name - Health Insurance Product Recommendation Model Role – Built a recommendation model to suggest the best health insurance product to a client based on a set of few inputs and feature scores. Created product dataset from various available insurance providers, applied various logics to determine the suitable product for various categories of the clients based on ranking and further tested upon client data. Tools – Jupyter (Python Language) and MS Excel

Project Name - Life Insurance Product Recommendation Model Role – Built a recommendation model to suggest a life insurance product from the best suited category of products to a client based on the a set of few inputs and feature scores. Created product datasets from various available insurance providers depending on insurance type, applied various logics to determine the suitable products for the clients based on ranking and further tested upon client data. A Logistic Regression model was built to determine the type of insurance type to be suggested to the client on the prior insurance holder client dataset. Tools – Jupyter (Python Language) and MS Excel

Data Science Intern (Virtual), The Sparks Foundation Aug 2020-Sept 2020 Completed a graduate rotational internship program (GRIP) at The Sparks Foundation. Accomplished the five tasks assigned which included building Regression, Classification and Decision Tree models for datasets and predicting based on business problem of each task. Also built a Business Analysis story in Tableau. The GitHub and Tableau links for the tasks are: https://github.com/Mrunald3/SparkFoundation and https://tinyurl.com/y6oazfvw Tools – Jupyter (Python Language) and Tableau

Data Analyst Intern (Virtual), Med Tour Easy Sept 2020-Oct 2020 Completed a series of 14 courses related to Data Science and Data Visualization. Further I accomplished a live project to Predict Blood Donations using Machine Learning- Regression. During this one month internship program, two weeks had been assigned for completion of courses and the project respectively. Academic Project

Identifying High Risk Patients for Hospital Readmission. Description: Predict if a patient with diabetes will be readmitted in the hospital within 30 days of discharge. 30-day time period was chosen based on criteria often used by funding agencies in the USA. This is a Classification ML problem and models such as Logistic Regression, Decision Tree and Random Forest were put to test. Key skills: Exploratory Data Analysis, Supervised Learning Classification, Data Visualization, Data Wrangling. Tools: Jupyter (Python)

Qualification

Sr.

No.

Degree Specialization Institute Year of Passing Result 1 Post Graduate Program Data Science &

Engineering

Great Lakes Institute

of Management

January 2020 Excellent

2 Bachelor of Engineering

(B.E.)

Electronics

Engineering

Thakur College of

Engineering &

Technology, Mumbai

June 2019 7.48/10

CGPA

3 Diploma Electronics

Engineering

Thakur Polytechnic,

Mumbai

June 2016 84.24%

4 SSC School

Education

V.P.M’S Vidya Mandir,

Mumbai

June 2013 86.55%

Certifications

• Course on “Python: Basics to Advanced” by Udemy in September 2020.

• Course on “Power BI for Data Science” by Udemy in August 2020.

• Course on “Advance Excel” by Internshala Trainings in June 2020.

• Workshop on “Machine Learning” at Indian Institute of Technology, Bombay in 2020.

• Completed the Maharashtra State Certificate in Information & Technology (MS-CIT) in 2013 obtaining 90 marks out of 100.

Activities and Achievements

• Silver badge in SQL and Python on HackerRank Platform.

• Member (Correspondence & Content Writer) for TEDx even organized by Thakur College of Engineering & Technology in 2018.

• Member ( Creative Department ) for Technical Festival, Zephyr organized by IETE,Thakur College of Engineering & Technology in 2017.

• Second Runner-up for Technofest, a Technical Project Competition at Thakur Polytechnic in 2016 (Project coordinated and supervised by L&T Institute of Technology at Industry Level).

• Member of National Service Scheme (NSS) at Thakur Polytechnic for the academic year 2013-14. 2

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