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CONTACT

[e-mail]

[téléphone]

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PROFILE

A Data Analyst passionate about combining data, storytelling, and kindness as a catalyst for social change and to make a positive difference in the community.

EDUCATION

UNIVERSITY OF COLORADO, Denver | 2020

MS in Computer Science

G B PANT ENG. COLLEGE, India | 2018

B. Tech in Computer Science

TECHNICAL SKILLS

• Programming: Python, SQL
• Database Management: MySQL,

PostgreSQL, Oracle

• Data Visualization: Tableau,

Matplotlib, Seaborn, Power BI

• Data Wrangling: Pandas, NumPy,

Scikit-Learn, SciPy, Excel

• Cloud Computing: AWS
• Deployment: Flask, Heroku, HTML,

CSS, Bootstrap

• Statistics: Hypothesis testing,

Central Limit Theorem, Statistical

Modeling, A/B testing

MANAGEMENT SKILLS

• Leadership & Growth mindset
• Project & Team Management
• Communication & Empathy
• Problem Solving

D A T A A N A LY S T

WORK EXPERIENCE

Data Scientist | employHER | Seattle · 09/2020 – Present

• Developing a Resume Parser to automate the process of extracting information from a candidate’s resume to fill their profile using python and NLP.
• Working on establishing frameworks and best practices for data acquisition related to visitor’s behavior on the website using hotjar and Google Analytics.

Data Analyst | University of Colorado | Denver · 02/2019 – 05/2020

• Evaluated performance of professors using a sentiment analysis system and facilitated improvement in teaching methods by understanding students’ learning behavior. Developed the system based on students’ comments on [lien] by classifying them into three categories: positive, negative, and neutral.
• Transformed, vectorized text data, used lemmatization, n-gram, and TF-IDF. Implemented a model using NLP libraries and Naive Bayes with 75% accuracy. Integrated the data and trained model on AWS.

Business Analyst Intern | BHEL | India · 05/2017 – 08/2017

• Performed descriptive analytics on power generation equipment sales data, using SQL, for understanding products’ performance by region, that aided in forecasting future sales.
• Created 20+ strategic dashboards for monthly sales growth using Tableau to help non-technical teams to act on revenue trends resulting in 30% increased sales.

DATA ANALYTICS PROJECTS

Disaster Messages Classification

• Deployed a web-application that classifies messages in real-time for emergency workers into 36 categories to detect important messages that need immediate attention.
• Developed the model with ETL process using random forest, machine learning pipeline and NLP algorithms with 75% precision.

E-Commerce Data Analysis

• Performed detailed exploratory data analysis using visualization libraries to understand key metrics affecting customer’s review score. Predicted customer lifetime value after segmenting customers for next 6 months using XGBoost with 90% accuracy.

Mental health in Tech Industry Analysis

• Analyzed employers’ trends towards mental health and developed a classifier model to identify how likely it is that an employee will seek treatment with AdaBoost classifier and decision trees resulting in 82.18% accuracy