Data Analyst Social Media

SINDHU RAGHAVENDRA

***********.*@*****.***.*** +1-857-***-**** www.linkedin.com/in/sindhu-raghavendra EDUCATION

Master of Science (M.S.) in Information System (GPA: 3.5) Sep 2018 – May 2020 College of Engineering, Northeastern University, Boston, USA Bachelor of Engineering (B.E.) in Telecommunication Engineering (GPA: 3.6) Jun 2011 – May 2015 Dayananda Sagar College of Engineering, Visvesvaraya Technological University, Bangalore, India TECHNICAL SKILLS

• Programming Languages: Python (NumpPy, Pandas, scikit-learn), Java, Perl, HTML, CSS, JavaScript

• Database: MySQL, Oracle, MongoDB, Microsoft SQL Server, PostgreSQL, SOSQL, T-SQL

• Business Intelligence Tools: Python (Pandas, Matplotlib, Seaborn, Plotly), Tableau, Power BI, Lucid Chart

• ETL tools: Talend, Alteryx, SQL Server, TOAD modeler, ER Studio, Data-modeling – Star and Snowflake

• Software Tools: Salesforce, AWS (EC2, S3), Git, Microsoft Office Suite (Excel, PowerPoint, Visio), JIRA, Flask

• Machine Learning concepts: Classification, Regression, Clustering, A/B testing, Random Forest, Decision Trees

• Analytical Skills: Data Mining, Cleansing, Wrangling, Predictive Analytics, Salesforce Analytics WORK EXPERIENCE

Storage Performance Analyst Intern, Stratus Technologies Inc, Maynard May 2019 – Aug 2019

(Skills: Python, Perl, Tableau)

• Analyzed NVME’s efficiency to be better by 40% and developed 10 interactive dashboards on Tableau

• Devised a framework for tracking product’s performance on the company’s website to gain insights and usage patterns

• Charted Tableau reports which visualize the data quality issues to make a business case for preventive solutions

• Designed web application for 30 test systems and executed on all production systems utilizing Docker

• Initiated automation of reporting mechanism in Python to dynamically produce reports on a daily, weekly, monthly basis reducing the manual extraction of reports by 50% Storage Data Analyst, Hewlett Packard Enterprise, Bangalore Aug 2015 – May 2018

(Skills: Python, SQL, Salesforce, SOSQL, Apex, Force.com, HPE Quantum Analytics, Visualforce)

• Evaluated best-fit product and services based on HPE’s customized database and HPE Quantum Analytics

• Developed custom Salesforce pages that enable to store client’s details with Visualforce (Lightning components)

• Engineered a complete backend database infrastructure for Salesforce OneLead deploying RDBMS technologies

• Spearheaded the sales department and gave a result of 10% increase in sales by promoting leads and compiled dashboards in Tableau as a part of sales-team efforts

• Conducted quantitative analysis on storage products for performance by leveraging Salesforce CRM and analytics tools eventually resulting in a 15% increase in the product’s performance

• Leveraged SQL, Excel, and Python to analyze data, 800 datasets, to identify potential leads and optimized scalable financial reporting solutions for stakeholders

• Mentored a team of 5 interns for a smooth transition from in-house CRM application to Salesforce CRM ACADEMIC PROJECTS https://github.com/RSindhu2208

Data Warehousing and Business Intelligence (Talend, Alteryx, Tableau, PowerBI)

• Optimized 16 ETL jobs integrating financial data from multiple RDBMS improving overall execution speed by 40%

• Gathered retail-finance data requirements and used data modeling to visualize patterns for analysis

• Built 10 plus interactive Tableau and PowerBI dashboard to assess sales, product inventory and customer data Car Plate Recognition system (AWS Deep Lens, Flask, OpenCV (Haar Cascades), Apache Airflow)

• Created Flask web application to recognize the car plates of 2000 images stored in AWS S3

• Implemented a Convolutional Neural Network-based YOLOv3 model to detect license plate of cars

• Accomplished license plate segmentation using the Niblack algorithm and image pre-processing techniques Invoice Builder Application (MongoDB, Express, Angular 8, and NodeJS)

• Constructed an invoice builder to generate invoices for the services received

• Performed functionalities - CRUD operations for SQL database, secure Restful APIs with passport and JWT, send email in NodeJS, generated PDF view of invoice and documented Restful API’s

• Incorporated JSON web token and social media (Github, Google) authentication House Price Forecasting - Time Series Modeling (ARIMA, SARIMA, ARIMA-ANN Hybrid Model)

• Accomplished 3 time-series models such as ARIMA, SARIMA, Prophet and ARIMA-ANN Hybrid Models on large and complex housing dataset provided by Zillow to forecast trend in cost of 3000 houses for next 10 years

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