MANTHAN K. GOUNDADKAR

: 857-***-**** adwrji@r.postjobfree.com Portfolio GitHub

https://www.linkedin.com/in/dataanalystmanthan

EDUCATION

University of Massachusetts, Boston, MA GPA: 3.91/4.00 MS in Business Analytics: Big Data Analytics Sep 2021 - Dec 2022 Coursework: Multivariate Statistics and Regression Analysis, Data Mining and Predictive Analytics, Business Intelligence, Management Decision Models, Database Management Systems, Object-Oriented Information Systems, Operational Risk Management, Operations Management.

MIT, Pune, MH GPA: 7.0/10

Bachelor of Engineering Jun 2015 - Jun 2019

SKILLS

Programming: Python 2.7-3.9, SQL, R, C/C++, SAS

Package: Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, ggplot2 Technologies: AWS, Azure, Jira, MS Office (Solver, Excel, Power Point, Project, Pivot tables), Google Cloud Platform (GCP), ETL, ELT

Application: Visualization software (Tableau), Git, AWS, Hadoop, Linus, HDFS, Spark, Pyspark, Hive, Sqoop, Kafka, SAS, R, Visual Studio Code, PyCharm, Jupyter. Database: MySQL (Statistical Software), SQL Server, Database query tools, MongoDB Other Skills: Technical writing, Communication & analytical skills, hypothesis testing skills, Requirements Gathering, teamwork, basic discipline, relationship management & recommendations skill, data analysis skills, coding skills, project management, Kanban, trend analysis, monitoring skills, interpersonal skills, innovation & growth vision, flow finance, documentation, development, collaborative, business processes, data analysis, accounting, quantitative analysis.

EXPERIENCE

AMAZON.COM, INC. Pune, MH

Associate – SDS Specialist team Jul 2019 – May 2021

● Certificate of recognition for my outstanding contributions to the SDS Specialist team and my role in improving KPIs and productivity.

● Analyzed 50+ issues per day and proposed an aligned solution.

● Analyzed historical customer satisfaction (CSAT) data for trends in customer sentiments towards different products.

● Increased first contact resolution rate and thereby reducing chances of customer issues escalated to leadership by over 50% and reduced recurring issues by 75%.

● Worked with the Dart team to visualize core business KPIs (Monthly Recurring Issues).

● Optimized KPI definitions and reports on trends and performance on an ongoing basis.

● Sought solutions to 100+ customer issues per day, reporting metrics to leadership teams.

● Aggregated unstructured data, performed analysis, developed reports, resolved 100+ issues, increased productivity by 50%.

● Leading cross-functional team of 20 associates as an SME, conducted workload assessments that led to 70% increase in productivity.

INTERNSHIPS

VAS Tribology Solutions PVT. LTD. Pune, MH

Big Data Analyst Intern (Lube and coolant analyst) Jul 2018 – Nov 2018

● Implemented a data-driven research approach for analyzing the performance of 2-wheeler and 4-wheeler lubricants. By integrating data analysis and visualization tools like Excel, I was able to identify key insights and provide ongoing reports to the management and stakeholders.

● One of my most exciting achievements during this role was identifying a significant improvement in the performance of a specific lubricant used in 2-wheelers.

● New lubricant was able to reduce engine wear and tear by over 30%, resulting in improved fuel efficiency and longer engine life.

PROJECTS

US Superstore Data Visualization GitHub

● Designed a visualization to visualize the US Superstore dataset.

● Developed Business Intelligence solution for 3 major problem statements. Database model of a financial management app for households GitHub

● Designed an Entity Relationship Diagram (ERD) using Visio.

● Prepared a database design to capture relationships between entities.

● Created a database to match the database design using MySQL and SQL servers. Statistical analysis of relationship between inflation and unemployment GitHub

● Statistically tested the existence of Phillips curve. (Inflation vs unemployment).

● Conducted T-test, F-statistics, linear regression, logistic regression. Analyzing Airbnb rental prices and occupancy rates GitHub

● Analyzed Airbnb rental data using machine learning algorithms and data visualization techniques, revealing important information on pricing schemes and occupancy rates. Analyzing customer data for lifetime value prediction GitHub

● Forecasted the likelihood that people on the doomed ship Titanic would survive using sophisticated data analytics methods and machine learning algorithms, including logistic regression and decision trees. CERTIFICATIONS Provider Date

• Python Essentials Certificate LinkedIn 08/22

• Lean Six Sigma White Belt Six Sigma Society 07/22

• Google Analytics Certificate Google 04/21

• Fundamentals of Digital Marketing Google 06/20

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