I am Kritika Goyal

Data Scientist, Analyst, Lifelong Student and Poet

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

AARP Logo

Marketing Analytics Intern

June 2024 - Present

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.

American University Logo

Graduate Teaching Assistant

January 2024 - Present
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.

Deloitte Logo

Senior Analyst - Deloitte

July 2020 - August 2023

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.

DIGIAIMS Pvt Ltd Logo

Digital Marketing Intern - DIGIAIMS Pvt Ltd

Sep 2018 — Feb 2019

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.

INDEPENDENT DATA PROJECTS

YEARS OF EXPERIENCE

AWARDS WON
My Portfolio

PROJECTS

Tech Tales: Navigating the Digital Odyssey


Public Investments Allocation in New York State

Skills: Predictive Analytics, R, Regression, Statistics, EDA

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

Skills: Flask, Machine Learning, Data Visualization

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

Skills: R, ML, EDA

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

Skills: Data Science, ML, Random Forest

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

Skills: Data Analysis and Preprocessing, Python, Machine Learning, PySpark, Matplotlib and Seaborn

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

Skills: Tableau, Data Visualization, Dashboard Design

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

Skills: Data Cleaning, EDA, Hypothesis Testing, PCA, Regression, Random Forest, Shiny

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.

Deloitte-Spot Award

Kritika stepped up to take more responsibilities and displayed resilience to manage the processes affluently. Her knowledge in RMS process along with attitude to extend great customer support made her contribute to the process with lot of insights to better the process. Her support in PHT and CRM process is commendable. She is an irreplaceable asset to the team.

Deloitte-Applause Award

Kritika - thank you for all of your hard work jumping into the Avature Dedicated Support Model. From excelling at completing your Avature certifications to digging into the configuration work and always asking/willing to take on more, you are an invaluable member of our team! Thank you for the top-notch service for our TA clients, your continued spirit of learning, and your overall support to get the Dedicated Support Model off to great start for Digital Enablement. Cheers, Kritika!

Deloitte-Outstanding Award

Kritika has put in phenomenal effort in driving challenging tasks related to our integration project. She has solutioned a complex business ask with ease and improved the overall Business experience. She coordinated with multiple teams and vendors to improve the overall accuracy of the system and proactively identified key challenges in the process and resolved them

Get in Touch
  • kritika.gl[at]gmail[dot]com