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Click here or scroll down to respond to this candidate Candidate's Name
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EXPERIENCE
Global Logic (A Hitachi Group Company) Charlotte, North Carolina
Project Strategy Intern June 2024 July 2024
Applied quantitative analysis and data analysis to increase GLX platform engagement by 25% through data-driven insights using
quantitative analysis and statistical software.
Collaborated with cross-functional teams to develop the GLX roadmap, incorporating gamification and UX improvements that
enhanced user engagement by 20%.
Led an agile team, managing project timelines to deliver GLX ahead of schedule, boosting adoption by 35% through clear
communication with stakeholders.
University of Texas Dallas, Texas
Teaching Assistant (Tableau) January 2024 May 2024
Taught over 150 students the principles of data visualization, assisting with individual projects and clarifying complex concepts.
Teaching Assistant (Business Analytics with R) August 2023- December 2023
Supported professor in various capabilities, including assisting 200+ class preparations, managing administrative tasks, and facilitating
grading processes.
Utility Powertech Ltd Delhi, India
Engineer July 2021 December 2022
Developed revenue forecasting models and performance metrics using Tableau and Excel, increasing the sales team's collection by
23% within a quarter.
Designed automated statistical solutions for project management, leading to a 7% reduction in power cut risks in the "Smart Meter Installation"
project.
Finders India Pvt Ltd Delhi, India
Engineer November 2020 May 2021
Conducted root-cause analysis on region-wise sales data using SQL, resulting in an 11% sales increase in 3 months
Automated data analysis workflows in Python to optimize the cold-calling strategy, boosting customer acquisition by 14% over 5
months.
Led a monthly customer review meeting using Tableau dashboards to identify gaps in customer satisfaction metrics, resulting in a
22% improvement within 6 months by streamlining operational solutions
SKILLS
Business Intelligence Tools: MS Excel, MS office, Tableau, Power BI, Hadoop and Google Data Studio.
Packages: NumPy, Pandas, Matplotlib, Seaborn, TensorFlow and Scikit-Learn.
Programming: SQL, R and Python.
Techniques: Data Manipulation, Data Visualization, Statistical Data Analysis, Machine Learning (Liner regression, Logistic Regression,
Classification, Decision Tree, Clustering, Time series analysis).
EDUCATION
The University of Texas at Dallas Dallas, Texas
Master of Science in Business Analytics Jan 2023 Dec 2024
Thapar University, Patiala Patiala, India
Bachelor of Technology, Electrical Engineering August 2016 - May 2020
ACADEMIC PROJECTS
Job Placement Analysis & Insight- University of Texas at Dallas (Project Link)
Conducted quantitative analysis of job placement data in R, uncovering insights on education, industry trends, and success rates,
and developed data models to support strategic improvements in career services.
Breast Cancer Classification with Neural Network (Project Link)
Developed a neural network model to predict whether a tumor is malignant or benign using a breast cancer dataset. The model
leveraged input features such as tumor size, texture, area, and other relevant characteristics to accurately classify cancerous
growths.
Covid-19 Vaccination Progress Analysis in California: Tableau (Project Link)
Conducted an in-depth analysis of COVID-19 vaccination efforts across California counties, measuring vaccination percentages and
identifying gaps to inform timely interventions for public health improvements using Tableau.
Identified disparities in vaccine administration and visualizing key trends in case reduction and booster uptake to support data-driven
public health strategies.
Compact-Telecom-Consumers-Complaints (Project Link)
Investigated the data using different Python libraries like Numpy, Scipy, Pandas, Scikit-learn, matplotlib, and BeautifulSoup, to detect
the trends and also, prepared the charts of daily and monthly frequency of complaints and the maximum number of complaints.
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