[nom]
CONTACT
[e-mail]
[téléphone]
[lien]
[lien]
[lien]
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
