Niharika | Aspiring Data Science/Analyst

Niharika

Aspiring Data Science/Analyst

Based in Dallas, TX

About

Hey, I'm Niharika Sharma, and I'm all about making sense of data. Just like how I've built and maintained data models before, I see each dataset as a new challenge, a puzzle waiting to be solved. Whether it's collaborating with teams or diving deep into insights, I'm driven by the excitement of turning data into actionable solutions.

Skills

Projects

Hospital Readmission Prediction

Used R for data preprocessing, statistical analysis, and visualization on the Kaggle dataset with 25,000+ records. Executed logistic regression and decision tree models, achieving respective accuracies of 61.34% and 60.25%.

Machine-Learning - Credit-risk-management

Engineered credit card risk assessment strategies by employing advanced XGBoost and Neural Network ML models. Processed an extensive dataset of over 50,000 records, emphasizing feature engineering and one-hot encoding to enhance model efficacy.

Sales Forecasting

Collaborated with a team to evaluate forecasting models for avocado sales over a six-year period. Led data cleaning and preprocessing efforts to ensure dataset integrity. Concluded that the Holt-Winters method best suits the problem statement by effectively capturing the downward trend

Sentiment Analysis - Twitter Tweets

Comprehensively analyzed over 20,000+ Twitter reviews of a movie using a statistical approach. Pre-Processed the data using NLTK (Natural Language Processing) to extract specific feature vectors from tweets. Utilized the Naive Bayes classifier to train the model.

British Airways Review Analysis

Amazon Sales Analysis

Experience

May 2023 - August 2023

Business Intelligence Analyst Intern

▪ Collaborated on data analytics projects with cross-functional teams, emphasizing revenue growth and service enhancement through advanced statistical/quantitative analysis within the Data Strategy and Governance Department. ▪ Executed SQL queries in Azure Data Studio and Azure Blob Storage to retrieve and organize data from diverse sources. ▪ Developed custom Python scripts in Azure Synapse Analytics to automate data extraction, manipulation, and analysis for over 50 million records, achieving a 12% efficiency gain. ▪ Recommended predictive analytics, aligning with stakeholder goals to boost revenue, reduce operational costs, and enhance customer satisfaction. ▪ Created impactful reports and dynamic visualizations in Power BI, incorporating DAX queries, to effectively communicate

December 2020 - June 2021

Analyst Intern

▪ Increased business efficiency by 23% through preliminary data exploration using Python and complex queries for data extraction and manipulation via SQL. ▪ Improved customer experience by testing case scenarios and validating different responses, analyzing project scope, and providing recommendations for process improvements that boosted execution time by 10%. ▪ Utilized Microsoft Excel extensively for data analysis purposes, employing advanced functions and features to extract valuable insights and support decision-making processes. ▪ Enhanced productivity for faster data retrieval by fine-tuning SQL queries, reducing data processing time by 40% ▪ Developed and presented over 10 Tableau dashboards to deliver campaign performance visualizations based on tracked metrics

Education

August 2022 - May 2024

Masters in Business Analytics

University of Texas at Dallas

August 2016 - October 2020

Bachelor of Engineering - Computer Engineering

University of Mumbai