Upasana Mahanta
D a t a S c i e n t i s t
A B O U T M E
adgre6@r.postjobfree.com
Schaumburg/IL/USA
Data Scientist in the making.
The thrill of uncovering insight
and developing strategic
directions from data drew me
to the field of data science
Data Scientist fellow with advance data analysis tools and techniques, experience in supervised and
unsupervised learning, developing predictive model, with different data acquisition techniques. Looking for an opportunity to use those learnings and findings LinkedIn
Blog
Website
GitHub
S K I L L S
Programming: Python, Panda, Plotly, NumPy,
SciPy, SQL, Machine Learning, Data Analytics,
Artificial Intelligence (AI), Jupyter Notebook,
GitHub Enterprise tools, Seaborn, Matplotlib,
Bokeh, Sklearn, Scala, Advanced Excel,
Microsoft Office, Microsoft Excel, data
Visualization - Tableau
OTHER SKILLS
Project Management/Data Management
Operation
E D U C A T I O N
PGDM Agriculture Business Management
Indian Institute of Plantation Management,
India
2010-12
B.sc Microbiology
Dayananda Sagar college, India
2006-09
E X P E R I E N C E
Data Scientist Fellow
General Assembly
Three months of Data Science Immersive program. Skilled in Python, SQL, Tableau, advance data science tools and techniques.
• Supervised and unsupervised learning: Linear and Nonlinear Regression, Classification, Ensemble method, PCA, Regularization, Clustering, Spark, SVM, Recommendation System, Boosting, Bagging, Bayesian Statistics, Deep Learning, Artificial Intelligence (AI), Machine Learning model
• Time Series data: ARIMA model, Benford’s Law, Flask
• Data Acquisition: SQL,API, Web scrapping
• Neural network, CNN, RNN
• Sentiment Analysis, Natural language Processing (NLP)
• Data Visualization – Tableau, Plotly, Matplotlib, Bokeh Project Details
• Classifying reddit xpost r/Star War & r/Star Trek with natural language processing and machine learning from Pushup API and doing Sentiment Analysis of the posts
• Analyzed historical SAT and ACT scores, which is standardized tests to get admission in colleges and universities of United States.
• Kaggle Competition - Designing predictive model leveraging regression technique to predict house price for Ames Housing project, exploratory data analysis
• Capstone Project – Developed a model for Field Technicians of largest US Telecom service provider to predict the probability of a job being returned at the time of assignment to ensure that the corrective actions are taken to avoid the return. Jr. Data Analyst
Access Livelihoods Consulting India Pvt. Ltd.
• Conduct projects from early stage research through development, in consultation with stakeholders
• HR beneficiaries, HRMIS preparation, exit interview processing, part of recruitment process
• Participate fully in collaborative approach to research and applications project
• Participate in projects that will help drive process improvements in the Planning Organization
• Consolidate and analyze actual operating results for the Planning organization throughout the time and compare them to monthly / quarterly plan with pivot table and charts with Microsoft Excel and presenting report in Microsoft PowerPoint
• Administering project planning process, analysis, reporting, budgeting and tracking, support and preparing report to client
• Data Gathering, data Cleaning and analysis the data in Microsoft Excel and findings the result