Rohini Kanungo

469-***-**** adkjd3@r.postjobfree.com Portfolio: https://rohinikrk.wixsite.com/portfolio Github: https://github.com/Rohinikanungo LinkedIn: www.linkedin.com/in/rohini-kanungo Tableau: https://public.tableau.com/profile/rohini.kanungo#!/ Detailed-oriented with hands-on experience collecting business data, analyzing information, and developing improvement and enhancement solutions based on their findings. Skilled data analyst with more than 4 years of industry experience in collecting, organizing, interpreting, and Visualizing various types of statistical figures. Energetic presenter and confident communicator with the ability to circulate information clearly, efficient, and beneficial for end-users. Actively looking for fulltime as a Data Analyst from June 2021 CERTIFICATIONS & TECHNICAL SKILLS

Certification: Google Analytics by Google, Google AdWords by Google, AZURE(Taking) Tools: Tableau, Power BI, Google Analytics, Google tag manager,Jupyter,R studio Programming: Python, R, SQL, JAVA, SAS, Cython

Databases Oracle, MySQL, Advance SQL (ETL, Data Modelling), MongoDB, PL/SQL, NOSQL Microsoft Office: Microsoft Word, Microsoft PowerPoint, Microsoft Excel (Pivot Tables, VLOOKUP, VBA) SDLC TECHNOLOGY: Waterfall, Agile- JIRA, Scrum, Iterative Statistical Inference: A/B Testing, Hypothesis Testing, Correlation, Regression Education

M.S., Information Technology Management; GPA 3.94 The University of Texas, Dallas, May 2021 B.E., Electronics Engineering; GPA 3.8 Nitte Meenakshi Institute, Bangalore, 2014 PROFESSIONAL EXPERIENCE

Data Analyst Intern, Envision2bWell Inc Jan 2021- Present

• Constructed ETL pipelines in Azure to aggregate data mapping and modelling from REST API’s by using Azure Blob storage and maintained structured tables in Azure SQL for data science dashboarding and Ad-hoc analysis.

• Created Python Script to push Twilio API and Stripe API data to MySQL, maintained and structured 20 plus tables in SSMS.

• Leveraged Mix panel capabilities to analyze user data and developed A/B tests to increase user engagement by 40%

Data Analyst Intern, Sizigi May 2020- Aug 2020

• Facilized Sizigi platform in creating online campaigns and used google analytics to track the users data, conduct keyword research for SEO (organic), referral and SEM traffic to increase about 30% engagement of users.

• Created actionable, User-Friendly Dashboards with Insights and recommendations on business metrics to enhance the campaign performance using Tableau and Google Studio.

• Cleaned, extracted, Analyzed the data from MYSQL, wrote SQL queries and applied Python Library to identify and understand emerging trends and predict customer insights and customer satisfaction rate based on Department and salary of users using Logistic Regression.

Technology Data Analyst, Infosys Limited, India Jan 2015 - Apr 2019

• Implemented a secure Web login page for tax system that assists the nation in processing 3.5 billion invoices using Python, MySQL, HTML5 and CSS.

• Dealed Directly with the clients Business Insights and Strategy in an agile Project Environment to capture and analyze challenges that occur during the workflow.

• Extracted GST tax data using SQl and performed Cleansing, modelling, filtering of data over different region for analysis in python.

• Created dashboard/portal which can be used to automatically assign, track and monitor key events like tax filing due dates across all tax types and globally across all regions and also track Tax risk In Excel, Power BI, for data reporting in pivot tables and VLOOKUP. ACADEMIC EXPERIENCE & INDEPENDENT PROJECTS

Diabetes Prediction with pySpark MLLIB Python Jan 2021 - Present

• Implemented and Built a logistic regression model using Pyspark MLLIB to classify patients as either diabetic or non-diabetic.

Predictive Analytics on Churn rate in Telcom Industry (SAS, Python, Pandas, Seaborn): Dec 2020

• Analyzed the behavior of Telecom customers who are more likely to leave the platform, performed EDA to gauge customer behavior using Python, Seaborn, pandas, Matplotlib.

• Used predictive Analytics techniques like Logistic Regression in SAS to determine the customers who are most likely to churn with an accuracy of 80%.

Google Ads Grant Online Marketing Analytics (Google Analytics, Google AdWords ) : May 2020

• Led the strategy and implementation of a Google Ad campaign to maximize brand awareness, statistically boosting pageviews by A/B Testing and SEO, used Google Analytics to track users data for recommendations to help them improve CTR and Products leads.

Data Visualization Projects – (Tableau, Power BI, Google Data studio): Aug 2019

• Analyzed the States created an interactive Dashboard in TABLEAU to explore various conditions that cause delays which affect the airline timing at airports, concluded that frontier airline has the maximum delay of 28%.

• Analyzed my Personal LinkedIn Profile Data, created a dashboard to check my engagement and exposure through posts, my engagement with professionals using Power BI.

LEADERSHIP & ACHEIVEMENTS

• Received First place in Data Visualization Challenge conducted by Business Analytics Leadership Council, received prize money of

$500.

• Winner of Envision college team in Data viz of the week, made an interactive data story Using Tableau and Python.

• Awarded the best Insta award as the best Performer of the INFOSYS unit.

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