Business & Data Analyst professional comfortable working cross-functionally with external and internal stakeholders and actively looking for a Full-Time opportunity. Consultant with 4 years of work experience, proficient in developing broad understanding of data and ensuring its effectiveness within the given commercial business context such as Customer and Product Analysis, KPI design, Business reporting by generating actionable insights, building performance dashboards
Developed and implemented an efficient data pipeline to automate processing of input files, execute queries, and aggregate data from multiple sources.
Streamlined report generation process, saving 50 hours of manual work and improving data accuracy and accessibility for executives.
Designed and executed strategies targeting customers residing nearby universities by leveraging data lake and ETL pipeline. Utilized existing data and footprint information to drive revenue generation of 700k and acquire additional customers.
Applied Natural Language Processing (NLP) techniques to categorize customer feedback data.
Identified churn reasons and collaborated on building customer retention strategies to enhance service quality. Utilized trends analysis and visualization techniques to provide comprehensive insights into customer feedback data.
Developed Tableau dashboards with live connections to SQL Server database, providing real-time insights into agent network operations across different regions.
Implemented Key Performance Indicators (KPIs) to streamline agent network operations, resulting in a cost-saving of 150k.
Created and deployed a Predictive Model to offer recommendations for product item recoverability, facilitating the development of repossession strategies.
Reduced processing time by 70% and minimized manual work through predictive analytics.
Conducted market share analysis and formulated hypotheses to identify key areas for growth.
Collaborated with clients to identify data capturing gaps and implemented strategies to increase market share by 10%.
Created and developed a program which used Web Scrapping to extract the data from job portals for different job positions. The extracted data was used to create a list of the skills which are required across different job positions.
Implemented program using Text analysis and Natural Language Processing (NLP) which provide a similarity score between the two documents.
Created Tableau dashboards based on cache and system busy errors to identify the trends and performance of the system which helped the business in improving the system efficiency by 10%.
Developed customer contracts and pricing weekly/monthly reports for the leadership team to evaluate the impact on business before and during the COVID-19 situation.
Prepare and created a consultative regional metrics for customers that show travel rebound as well as specific demand partner information.
Developed an automated system to generate transaction reports to optimize database resources which helped in reducing ~25% process time.
Managed and coordinated with team of 4 analyst to develop Customer Interface Module which helped the business in reducing the process time and manual work and collaborated with Senior Experts, Engagement Managers and Partners.
Performed root cause analysis on flow of data in the system to identify gaps in the data integration process which generated target business insights for clients and proposed solutions which boosted system efficiency and resulting in 500k revenue generation.
Developed statistical model to develop an understanding of network coverage and boost the coverage and capacity of radio towers and antenna by ~15%.
GPA: 3.84/4.0
GPA: 3.66/4.0
Build a program that detects the stock price of S&P 500 and provide us with the trend and the seasonality forecast. Also, used Yahoo Finance API and the RSME value obtained was 59.394. Algorithms: Naïve Forecast, Moving Averages, Holt Winter Model, ARIMA model.
Source code in R can be found here
Predictive model using the Natural Language Processing(NLP) to detect whether the news is real or fake. Data Cleaning and performing feature engineering on text and obtained an accuracy of 91%. Algorithms: K-Means, Support Vector Machine(SVM), Logistic Regression.
Source code in Python can be found here
Created an automated system in which the database is refreshed on daily basis and provide us with the visualization in Tableau for the COVID cases across the global. Technology : Python, AWS EC2, AWS Relational Database Service (RDS), Tableau.
Source code in Python can be found here
Deep data exploration by cleaning, exploring and visualizing with respect to cost, location and type of room on the New York Airbnb 2019 dataset. Used Python libraries such as Pandas, NumPy and Seaborn library for visualization.
Source code in Python can be found here
Data visualization of movie by different demographics and genre and made predictive models to recommend movies which the audience may like to watch. Methods used - Data Analysis using python(Pandas, Sklearn), Seaborn library for graphics.
Source code in Python can be found here
The project matches the candidate’s profile with the job description. The project aims to provide a matching score between two documents (resume and job description), using natural language processing techniques.
Source code in python can be found here
Implemented a college database management system which include student, course, professor, books, class schedule, fees. Created the entity relation diagram, functional dependency and created tables and inserted data and SQL queries to find the insights of data
Source code in SQL can be found here
It contains all my Tableau Dashboards and Portfolio
Source code in Tableau can be found here
Apart from being a Data Analyst, I enjoy most of my time being outdoors doing activities like trekking and playing Cricket.
I love to collect stamps.
When forced indoors, I like to cook different cuisine and watch sci-fi and suspense thriller genre movies and television shows.