
Name: Kritika Goyal
Profile: Data Scientist/Analyst
Email: kritika.gl[at]gmail[dot]com
Skills and Interests
Programming: Python, R, SQL, SparkSQL
Software tools: Databricks, PyCharm, Jupyter Notebook, Tableau, MS Excel, Salesforce, MS Access, MongoDB, MySQL
Machine Learning Algorithms: Decision Trees, Random Forest, K-Means, PCA, Neural Networks and more!
Statistical Analysis: Regression Analysis, Probability, Hypothesis Testing, Time Series Forecasting, Cluster Analysis.
Interests: Hiking, Cooking, Poetry
About me
Hey there, I'm Kritika Goyal, an enthusiastic individual with three years of valuable experience at Deloitte, where I was a key member of the Digital and Analytics team. I am currently pursuing an MS in Analytics at American University and have received advanced data science training from IIIT Hyderabad. My passion for data and digitalization has truly flourished throughout my professional journey.
Growing up in the foothills of the Himalayas has deeply influenced my interests, particularly in hiking. Beyond the world of coding and analytics, I'm an all-around person with a zest for life. Whether I'm unraveling complex datasets or trekking up mountains, there's always a sense of curiosity and enthusiasm driving me. This space is not just about code; it's about sharing my journey as a proactive problem-solver, lifelong learner, and someone who finds joy in hobbies like reading and poetry.
Experience
Crafting Tomorrow, One Experience at a Time

Marketing Analytics Intern
In my role as a Marketing Analytics Intern at AARP, I have leveraged SQL, Python, and Tableau to automate reporting processes, developed dynamic dashboards with live data extraction using Databricks, and conducted in-depth data analysis to uncover trends and optimize marketing strategies, significantly enhancing my technical and analytical skills.

Graduate Teaching Assistant
Subjects: Managerial Statistics, Business Insights and Analytics
In my role as a Graduate Teaching Assistant at American University Kogod School of Business, I have supported students in navigating R programming and predictive modeling, conducted classes under the professor's supervision, held office hours, and provided input on course materials. This experience has deepened my understanding of both teaching and analytical methodologies.

Senior Analyst - Deloitte
Engaged in HR transformation at Deloitte, I played a pivotal role in change management, reporting, and project management, contributing significantly to diverse projects. Over three years, I witnessed career growth with a promotion, garnered accolades, including an Outstanding Award for the Data Integrations Project, and consistently demonstrated resilience in handling additional responsibilities.

Digital Marketing Intern - DIGIAIMS Pvt Ltd
As an intern, I delved into website optimization, utilizing CMS tools and crafting SEO strategies. This experience, rich with hands-on learning, significantly improved website visibility. The dynamic environment exposed me to various facets of digital presence, making it a transformative period that contributed to my skill set and knowledge.
PROJECTS
Tech Tales: Navigating the Digital Odyssey

Public Investments Allocation in New York State
This project analyzes federal funding distribution in New York, focusing on small businesses and minority-related programs. OLS regression reveals disparities, emphasizing the need for equitable resource allocation and social equity.

Loan Eligibility Application
This project features a Flask web application that predicts loan eligibility based on user input. It employs a decision tree model trained on synthetic data and visualizes key metrics using boxplots and histograms for data analysis and presentation.

Decoding and Forecasting University Performance
Analyzing global university performance via Times Higher Education Rankings. Predictive models highlight critical predictors such as teaching quality, research output, and international outlook. Insights aid administrators in enhancing global standing and appealing to students.

Titanic Shipwreck Survival Analysis
This data engineering project involves analyzing Titanic shipwreck data, performing exploratory data analysis, implementing MLflow for experiment tracking, and building a supervised classification model with Random Forest for predicting survival. Hyperparameter tuning and metric logging are integral parts of the project.

House Price Prediction Project
This project aims to predict the final price of residential homes in Ames, Iowa, utilizing a dataset with 79 explanatory variables. The prediction model is built using machine learning techniques, with a focus on exploring PySpark and Scikit-Learn for data analysis.

Business Operations Dashboard
This Business Operations Dashboard, built in Tableau, provides interactive insights into HR, operations, marketing, sales, and customer data using synthetic datasets. It supports data-driven decision-making through comprehensive visualizations and KPIs.

NSN Data Analysis Project
This project analyzes NSN data to explore pricing patterns across representative offices, including data cleaning, EDA, hypothesis testing, predictive modeling (PCA, regression, Random Forest), and a Shiny app for interactive exploration.
Get in Touch
- kritika.gl[at]gmail[dot]com