Duration - May 2021 to October 2021 (6 Months)

ZS Associates - Business Technology Associate

At ZS Associates, I played a pivotal role in enhancing client strategies for Merck & Co. I co-created tailored marketing plans employing advanced AI/ML models, driving elevated customer loyalty among 5000+ healthcare practitioners. My expertise in A/B testing led to a 10% boost in customer engagement by optimizing asset designs. Additionally, I designed data-driven interactive dashboards utilizing SQL, Tableau, and MS Excel, facilitating seamless tracking and reporting. My contributions extended to efficiently collecting and consolidating data from diverse sources into a centralized data lake, reducing data preparation time for machine learning model retraining by 30%.

Duration - May 2017 to July 2017 (2 Months)

IIM Lucknow - Data Analytics Intern

During my tenure at the Indian Institute of Management Lucknow, I spearheaded impactful data analytics initiatives. Utilizing tools like RStudio and R programming, I successfully predicted hotel prices across 42 cities in India, employing supervised machine learning algorithms. This endeavor included market trend analysis and competition insights, contributing to resource allocation strategies. I led the development of a high-performance pricing model, achieving an 85% accuracy in forecasting prices. My work showcased proficiency in data analytics, machine learning, and strategic market analysis.

Skill Set

1. Programming Languages: Python, SQL, R Programming
2. Tools, Databases, and OS: Tableau, Power BI, MS Excel, Database Warehousing, Windows
3. Framework & Libraries: Numpy, Pandas, Matplotlib, Scikit-Learn, SciPy, statsmodels.api, Seaborn, Plotly, TensorFlow, Keras,
4. Others: Hadoop Architecture, Spark, Containerization
5. Certifications - Post Graduate Program Certification in Data Science Engineering,Amazon Web Services Cloud Practitioner
6. Course work: Statistics, Big Data, Machine Learning, Data Mining, Deep Learning, Data Analytics in R, Data Visualization, Natural Language Processing, Database Management System Design

Projects

With a rich background, I have cultivated expertise in a range of data-driven initiatives, employing advanced machine learning and deep learning methodologies. I adeptly present insights through interactive dashboards, leveraging tools like Tableau and Power BI for effective communication.

Walmart Sales Analysis

Projected sales at Walmart stores by evaluating the historical sales data collected over 4 years for 45 stores distributed across the US using Tree based regression models like Decision Tree Regressor, Random Forest Regressor, and Light GBM Regression models

Credit Card Customer Churn Analysis

Assessed 10000 credit card customers’ purchasing behavior to identify and prioritize high-risk churn cases, enabling targeted intervention strategies to improve customer retention by building and comparing machine learning models such as Logistic Regression, Decision Tree Classifier, Random Forest Classifier, and Light GBM Classifier

Sentiment Analysis

Addressing the "infodemic" during COVID-19, this project navigates data-driven misinformation on Twitter by analyzing more than 10000 tweets published on twitter during March 2020 to September 2020. Focused on credibility assessment, it distinguishes expert from non-expert tweets, explores sentiment patterns, and visualizes data inconsistencies.

Airline Pricing Analysis

This comprehensive statitical analysis of six major airlines explores factors influencing ticket pricing, correlations between classes, aircraft types, and international vs. domestic routes. Multiple regression models enhance understanding.

Hotel Pricing Analysis

This study delves into the determinants influencing room rates within the hotel industry. Additionally, it explores the multifaceted impact of various factors on the quality of hotel services, spanning across 42 cities in India.

Digit Recognizer

Developed a high-performance convolutional neural network (CNN) model for handwritten digit recognition, achieving an accuracy of 99.421%, utilizing TensorFlow and Keras frameworks.