Sr. Data Science Analyst Resume

SUMMARY

Passionate & results driven Data Analyst with over 6+ years of progressively combined experience in exploratory data analysis, data visualization, data cleaning and manipulation. Experienced in both waterfall and agile methodologies.
With big data, machine Learning and programming skills, I enjoy turning data into actionable insights, meaningful stories and data driven products.

TECHNICAL SKILLS

Programming Languages: Python, R, SAS, Java

Databases & Big Data: SQL, Hadoop, Hive, Pig, Spark, Flume, Sqoop, NoSQL HBase, Cassandra, MongoDB, Oracle Data Integration

Libraries & Frameworks: Sklearn, TensorFlow, Kera’s, OpenCV, Flask, FastAI, Caret

EDA & Data Visualization: dplyr, ggplot2, Tableau, MicroStrategy, Matplotlib, Seaborn, Plotly, Dash, Numpy, Pandas, Scipy

Machine Learning & Algorithms: NLP, Perceptron, CNN, RNN, Gradient Boosting, Grid Search, AdaBoost, KMeans, Decision Tree, Random Forest, Naïve Bayes, Linear Regression, Logistic Regression, SVM, KNN

Web & Scraping: HTML, CSS, Bootstrap, JavaScript, Beautiful Soup, Scrapy, Rvest

CI/CD & DevOps Tools: Doker, Github, SVN

PROFESSIONAL EXPERIENCE

Confidential

Sr. Data Science Analyst

Responsibilities:

Worked with top Cotiviti clients f.k.a. Verscend / Verisk Health to help them take data driven decisions.
Imported, cleaned, removed duplicates and scrubbed massive US healthcare datasets around 200 M+ population every processing (month) from multiple vendors like AETNA, CIGNA, USI Insurance Services etc.
Identified data patterns, trends, abnormalities, caveats and reported key findings to reduce data quality issues and improve metrics by performing root cause analysis of any such abnormalities in data to avoid them in future.
Developed, optimized and automated ETL scripts which reduced both machine and man hours by 35% thereby minimizing production SLA from proposed 10 days to 7 days. It saved thousands of $s for company in penalties and resources.
Used Oracle - SQL, HiveQL, My-SQL, SAS, R, Python, Excel VBA for data cleaning, manipulation, feature selection and predictive modeling.
Empowered vertical management teams to make data driven decisions by creating insightful data visualization & dashboards using MicroStrategy and Tableau.
Built a comprehensive knowledge repository containing cheat sheets, QC checklists, UpToDate adhoc scripts or patches and data maps with the help of Confluence Wiki pages & version control systems like SVN. This initiated the migration from a people centric to a process centric system or workflow. Mentored resources on US healthcare domain knowledge and techniques and technologies for data analysis.
Lead the team on daily basis in absence of senior leads for day to day operation which included multiple meetings and follow-ups with other teams, leads management and members of parent organization in the US.

Confidential

Technical Support Analyst

Responsibilities:

Used inhouse ticketing system logs to document, collect and analyze the information regarding various customer support tickets, issues and reviews regarding the products and services provided by the company.
Performed root cause analysis of issues and complaints raised by customers and suggested solutions to minimize or avoid them in future.
Answered numerous calls in a high-volume call center environment on daily basis in order to listen, analyze and resolved various hardware, software and internet related issues of customers.
Analyzed the issues on faulty devices like computers, laptops, routers, hubs, ubiquity devices and their firmware’s.
Performed analysis on data collected from customer reviews on certain product and service. Also, performed customer churn analysis.

Confidential

System & Network Support Analyst

Responsibilities:

Configured, managed & troubleshot Windows and Unix/Linux based servers and hosts in college computer labs:
Established computer labs using self-prepared UTP cables, Cisco routers configured with EIGRP & OSPF and switches with VLAN setup.
Investigated & discovered issues and implemented solutions and preventive measures by applying patches, updates and upgrades.
Monitored & performed vulnerability analysis of the in-house computer networks using security tools from Norton, ESET, Kaspersky etc.
Configured & managed Active Directory accounts for students and staffs, implemented GP0s and also examined issues in them.
Evaluated & recommended purchases of IT procurements viz. switches, routers, CCTVs and other computer spare parts and accessories.
Designed network subnets and configured IP addresses in network devices such as host PCs, routers, switches, PDA, POS devices etc.

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