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PHONE NUMBER AVAILABLE 3615 S Dallas St - 80014 EMAIL AVAILABLE LINKEDIN LINK AVAILABLE Git: github.com/Candidate's Name 16 Looking for internship opportunities from Jan 2021 TECHNICAL SKILLSDatabase: SQLite, MySQL, NoSQL, MongoDB, PostgreSQL Data Visualization: Tableau, PowerBI, Excel, PowerPoint, ggplot, seaborn, Plotly, Bokeh Tools: Jupyter, Git, JMP, AWS (S3, EC2, RDS, AUTOSCALING, ELB), Azure Programming Languages: SQL, Python, R, JavaScript, HTML, CSS, C++, Julia Big data Ecosystem: Hive, HiveQL, Spark, Spark SQL Data Science and Analytics: Machine Learning, Deep Learning, Predictive Analytics, NLP Libraries: PyTorch, TensorFlow, NLTK, Pandas, Numpy, ScikitLearn, XGBoost EDUCATIONUniversity of Colorado, Denver Expected Dec 2021Master of Science in Business Analytics GPA: 3.95Relevant Courses: Statistics for Business Analytics, Computing for Business Analytics, Predictive Analytics, Project Management, Data Visualization, Prescriptive Analytics with optimization Kalinga Institute of Industrial Technology, Bhubaneswar, India May 2017 Bachelor of Technology in Civil EngineeringEXPERIENCEGraduate Teaching Assistant at CU Denver Business School Aug 2020 Dec 2020 Reviewing assignments, exams, helping students clear their concepts and feedback book. The course is Computing for Business Analytics. It covers obtaining, cleaning, handling, storing, visualizing, processing, and analyzing datasets. It begins with python, Supervised learning, Unsupervised learning and eventually be able to apply Python in data and business analytics context. Learn concepts and use of SQL related to relational database. Machine Learning Teaching Assistant at Coding Ninjas, India May 2018 Sep 2018 Taking doubt sessions, debugging codes, and helping students in their assignments & projects It covers Regression, Decision Trees, Random Forest, Nave Bayes, KNN, SVM, NLP, Neural Nets, TensorFlow, Keras, CNN, RNN, LSTM and some capstone projects (Text classification, Sentiment analysis, Urban Sound Classification, Text generation). Site Engineer at M.P. AGARWALLA, India Jan 2018 Aug 2019 Supervising roads and bridges during construction. PROJECTSHotel Booking Demand (R) April 2020Predict the possibility of a booking cancellations for a hotel based on different factors and predict if there is a likelihood of getting a special request from customers.Train the data to a time series dataset, test the time series data, decompose seasonality, smooth the data, forecasts using Holtwinters, ETS, ARIMA, MLR, validate the models and predict the bookings for the next season. Sentiment Analysis (Python, AWS (Sagemaker, S3, Lambda Function)) March 2018 Cleaned and performed Exploratory Data Analysis on the dataset using Python libraries NumPy and Pandas Compared model performance of Naive Bayes, KNN and SVC. Build a web app that collects a user's data, sends it off and expects a positive or negative sentiment in return. Credit Card Invitation (R, JMP) Sep 2020The company wants to find a way to identify those who are most likely to accept an invitation to apply, keeping in mind the c budget. The data was skewed and used oversampling methods such SMOTE for imbalanced classification while data preparation. Formula One Data Visualizing (Power BI, R, Tableau, PowerPoint) Nov 2020 Cleaned and Performed EDA with R and used ggplot library for visualization and analysis. Visualize how the Teams and drivers fared from 1950-2020 with Power BI and Tableau to create various interactive analytical dashboard that depicts critical KPIs.Case Studies (Python, R) 2019-2020Studied about the Indian start-up funding dataset using python and analysis about various situations. Use Zomato API to compare the restaurants of New Delhi with rest of India. An insurance company wants to know more about the amount of claims it pays out for medical malpractice lawsuits. What factors influence payments for medical malpractice?AWARDS Dec 2020Business Graduate Merit Scholarship at CU Denver Business School