Social Media Python

SINDHURA GANTA

Seattle, WA, ***** +1-206-***-**** *****.*@************.*** LinkedIn GitHub

EDUCATION

Northeastern University, College of Professional Studies – Seattle, WA Expected– Dec 2021 Master’s in Analytics GPA: 3.9/4

Relevant Coursework: Probability & Statistics, Business Intelligence, Data Warehousing, Data Mining, Predictive Modeling, Big Data.

GITAM University – Andhra Pradesh, India Aug 2011 – May 2015 Bachelor of Technology in Electronics and Communication Engineering GPA: 8.4/10 PROFESSIONAL EXPERIENCE & ACADEMIC PROJECTS

Steelwedge (Now part of E2open), Hyderabad, India. Jun 2015- Jul 2018 Role – Associate Implementation Engineer

Projects: Sales & Operations Forecast, Steelwedge Plan Streaming, and Demand & Supply Planning. Clients: Kemira (Mining Industry), Nissan (Automobile Industry), Canon (Electronic Industry), Radisys (Medical imaging Industry).

Collaborated with cross-functional teams, including Business Analyst and Solution Architect, to identify and calculate KPIs, model time-series, validate business rules, and build personalized dashboards that are client specific.

Led and managed workshops with business stake holders to design ML solutions to reduce demand forecasting error by 30% for new products thus improving sales velocity.

Engineered data processing workflows with optimal data formatting before data warehousing.

Performed Tuning, Query Optimization to reduce run time from 5 min to 2 min using SQL Profiler.

Earned Standout Performer Award for improving customer satisfaction by creating Multi-Echelon Inventory Reconciliation Workflows with triggers that enable the end-user to track stock mismatches. eCommerce Dynamic pricing tool (Python) NEU, Dec 2020 Developed a dynamic pricing model using k-means clustering and regression models to predict prices for 20000 property listings of Airbnb and over 10,000,000 calendar entries with 10.5 % of MAPE.

Trained a Gradient Boosting machine to get the booking probability by applying supply & demand dynamics over time.

Ran a multivariate linear regressor to predict the optimal price and observed a 20 % higher gross revenue. Anticipate customer attrition with Neural Network (Python) NEU, Oct 2020 Created an Artificial Neural network on a year’s customer data to predict if a customer is likely to leave a bank or not. This model outperformed other ML models like XGBoost or Random Forest by 10% in terms of the metrics developed.

Developed Exploratory Data Analysis using Seaborn Library.

Implemented feature selection method by computing permutation importance using Keras.

Achieved 90% model accuracy with a high capability of detecting true positives and true negatives. COVID Tweets Sentiment Analysis using AWS Comprehend (Python, AWS) NEU, Sep 2020 Built a Serverless Application Model to stream 500,000 tweets per day and analyzed the sentiment of tweets in real time using AWS Comprehend (NLP), and developed CloudWatch dashboard to visualize results.

Leveraged AWS DynamoDB to store tweets, Lambda functions to pull the tweets, and Step functions to trigger Lambda to pull tweets continuously.

COVID Twitter Hashtag Analysis with a Mapping Tool (Python, MongoDB, Tableau) NEU, Jul 2020 To get the picture of social media reactions about COVID-19, designed a real time interactive Heat Map tool in Tableau to spot how trending Twitter Hashtags Correlate to the Number of COVID cases across the US, also designed Moving Average Trendline Charts to grasp the stunning rapidity of tweets. TECHNICAL SKILLS

Programming & Databases: R, Python, AWS, SQL (MySQL, SQL Server), NoSQL (MongoDB, DynamoDB). Statistics: Descriptive Statistics, Inferential Statistics, Hypothesis Testing, A/B Testing. ETL Tools: Tableau Prep, Adeptia.

Business Intelligence Tools: Tableau, Excel.

Machine Learning Algorithms: Linear Regression, Logistic Regression, KNN, DBSCAN, K-Means clustering, Naïve Bayes, Apriori, SVM, Random Forest, Decision Tree. Machine Learning Frameworks: Scikit-learn, Keras, NumPy, Pandas, Matplotlib, Plotly, Seaborn. Certifications: NLP with Python, Machine Learning in python, Strategic Planning, Tableau Data Scientist.

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