Professional Summary

Recent Engineering graduate with a keen eye for detail and a commitment to excellence. Proficient in SQL for data manipulation, PowerBI for creating compelling reports, and Excel for efficient data organization. Actively pursuing opportunities to apply statistical knowledge and analytical skills in a dynamic data analysis role. Eager to collaborate with industry experts, absorb insights, and contribute a fresh perspective. Education

Year Degree/Examination Institution/Board CGPA/Percentage 2023

Bachelor of Technology (Civil

Engineering)

Anurag University 6.0/10.0

2017 Intermediate (Class XII) Urbane Junior college 75.0% 2015 Matriculation (Class X) SR digi school 8.8/10.0 Internship and Certifications

Newton School Professional Certification in Data Science Pursuing an extensive Newton's Data Science certification program, specializing in data analysis, machine learning, statistical modeling, and data visualization.

Gained proficiency in SQL, Power BI, spreadsheet applications, and statistical methodologies to leverage data for informed decision-making.

Developing practical skills to drive data-driven decisions, contributing to success in the dynamic field of data science. Projects

Data Science Salary Insights and Excel Dashboard Newton School (link) Developed a comprehensive analysis project focusing on salary trends in the industry using data from Excel. The project aimed to extract meaningful insights to inform decision-making processes. Processing and cleaning of the Data.

Conducted extensive exploratory data analysis, including visualizations such as histograms, scatter plots, and heat maps. Identified key trends and patterns in salary distribution, experience levels, and remote work ratios. Implemented interactive features, including slicers for company location, enhancing user experience and enabling dynamic analysis.

Collaborated with a cross-functional team to identify key metrics and create visualizations for job title vs. average salary. Anomaly Detection in Credit Card Transactions. Newton School (link) Developed a real-time anomaly detection Power BI dashboard for credit card transactions, utilizing statistical techniques to bolster security and prevent fraud. Key tools included MS Excel and Power BI. Engineered features like transaction amounts and customer details to enhance anomaly detection effectiveness. Implemented dynamic visualizations for real-time monitoring of credit card transactions. Identified and mitigated fraudulent activities, enhancing overall transaction security in the simulated environment. Utilized DAX (Data Analysis Expressions) functions for creating advanced calculations and measures. Derived valuable insights from the dataset to identify and understand anomalies. Skills

Computer languages NoSQL, SQL, Python

Data Tools Power BI

Software Packages MySql, Excel

Soft Skills Communication Skills, Interpersonal communication, Critical Thinking, Team Building Others Microsoft Office, Analytics, Spreadsheets

Vikas Gabbeta

Contact No: +917*********

Email: ad4cnw@r.postjobfree.com

LinkedIn: vikas-gabbeta-137a142ab

Github: Vikasgabbeta9

HackerRank: vikasgabbeta9

February 2023 - Present

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October 2023 - October 2023

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September 2023 - September 2023

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Co-Curricular Activities

Sports :

Football - was selected for the college tournament level. Active involvement in the College NSS (National Social Service) team. Hobbies :

Traveling.

Visiting Historical Places.

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