Tushar Kulkarni
B.Commerce (Finance) / B.Science (Computer Science)
Overview
2
2
years of professional experience
1
1
Certification
Work History
Data Science Intern
Inteliment Australia
11.2023 - Current
- Analyzed customer behavior through Machine Learning for our clients which ranged from top telecommunications providers and insurance companies.
- Built machine learning models for regression problems to conduct True Driver Analysis for our CASS product.
- Implemented natural language processing algorithms for text analytics for our CX application CASS.
- Collaborated with stakeholders from various departments to develop business insights from data.
- Evaluated model performance metrics such as accuracy, precision, recall, F1 score.
- Researched new technologies and tools that can be used for improving the efficiency of data science processes.
- Followed industry innovations and emerging trends through scientific articles, conference papers or self-directed research.
Customer Care Specialist
Scentre Group
10.2023 - 12.2023
- De-escalated customer issues with proven conflict mediation and problem-solving abilities.
- Maintained high satisfaction rating with customers by providing exceptional service and support.
- Researched resolutions, contacted necessary departments and responded to customer by phone, mail or fax as follow-up.
- Delivered customer support to high call load each shift.
- Maintained high satisfaction score by consistently resolving first-call issues.
Junior Database Administrator Intern
Capgemini
Sydney, NSW
03.2023 - 10.2023
- Synthesized multiple sources of data and large data sets to develop reports, tools and metrics. Reports assisted improvements in the ETL stage of the development of the WIMS application.
- Contributed in application development meetings for WIMS application. This led to a more refined application which catered to the needs of stakeholders.
- Wrote scripts and processes for data integration and bug fixes. This fast-tracked the backend development of the WIMS application
Claims Assessor
EML
Sydney, NSW
04.2022 - 09.2022
- Communicated effectively with internal and external stakeholders using a range of communication methods which improved claim compliance rate to 98% in the first two months in new team.
- 100% of Liability decisions were made within specified timeframe.
- Investigated potentially fraudulent claims with focus on thoroughness, quality and cost control. All fraudulent claims were successfully reported resulting in no legal disputes for the team.
- Handled and processed variety of claims, including COVID-19 and more severe workplace related injuries.
Education
B.Commerce (Finance) / B.Science(Computer Science) - Finance, Computer Science
University of New South Wales
2021 Microsoft Excel Certification (UNSW Business
UNSW Business School
07.2021
Higher School Certificate -
Macquarie Fields High School
10.2020
Skills
SQL (Oracle Database)
Python: Pandas, Numpy, Matplotlib, Seaborn, scikit-learn
R
Stata
Microsoft Excel
Statistical analysis
Certification
Deloitte STEM Connect Virtual Experience Program
Designed a data unification algorithm using python help client store all telemetry data in the correct format. Used Tableau to create a dashboard to display health of machines for the client. Created a software development proposal for a software solution displaying live telemetry data for the client.
Artificial Intelligence Job Simulation - Cognizant
Conducted exploratory data analysis using python to generate key insights in areas of the business the client specified. Using scikit-learn library in python, I developed a machine learning model using Random Forest Regressor algorithm which produced an RMSE of 0.25 on average.
Cybersecurity Job Simulation - JPMorgan & Chase
Analysed a large dataset of mobile money transactions using python libraries to detect fraudulent transactions. Gained sound knowledge of application security fundamentals. Developed an email classifier using machine learning to detect spam emails at a 97% accuracy.
Data Science and Machine Learning - Udemy
Developed core skills for Data Science and Machine Learning
Links
GitHub: https://github.com/Tushar1831
Linkedin: https://www.linkedin.com/in/tushar-kulkarni-623267210/
Projects
SQL/Oracle Database:
- WIMS (Wayside Information Management System) Application - Managed Oracle Database for new application for Sydney Trains consisting of maintenance data
Python:
- Forecasting Commodity Prices and Weather (Machine Learning) - Important elements for forecast chart in NeoBank application
- Sentiment Analysis - Helped identify and seperate negative, neutral and positive news articles regarding commodities
Volunteering
- INFS1603 (Introduction to Business Databases) Class Ambassador: Contributed to the continuous development of course materials and assessment tasks
- Marathi Association Sydney: Provided assistance in logistics, catering and customer service for events organised by Marathi Association Sydney
Timeline
Data Science Intern
Inteliment Australia
11.2023 - Current
Customer Care Specialist
Scentre Group
10.2023 - 12.2023
Junior Database Administrator Intern
Capgemini
03.2023 - 10.2023
Claims Assessor
EML
04.2022 - 09.2022
B.Commerce (Finance) / B.Science(Computer Science) - Finance, Computer Science
University of New South Wales
2021 Microsoft Excel Certification (UNSW Business
UNSW Business School
Higher School Certificate -
Macquarie Fields High School
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