Ankita Tiwari
Data Analyst at Virtue Analytics
- Role
- Data Analyst at Virtue Analytics
- Location
- Lucknow, UP, IN
- LinkedIn followers
- 500 followers
About Ankita Tiwari
I am a Data Analyst with hands-on experience in SQL, Excel, and data visualization, currently working at Virtue Analytics in the product maintenance domain. Over the past 8+ months, I have analyzed large-scale financial aid data, consolidated information from 50+ U.S. colleges, and optimized reporting workflows—improving accuracy by 15% and reducing reporting time by 35%.During my internship, I enhanced model accuracy by validating 100+ academic transcripts, resolved anomalies to boost data readability, and improved decision-making efficiency for the development team.Beyond professional work, I’ve completed impactful projects, including:Digital Music Store Analysis: Uncovered customer spending patterns with SQL and Excel, improving revenue efficiency by 15%.WAZE Navigation App: Built a machine learning model in Python to predict churn, reducing churn rate by 15% and identifying key drivers of user retention. I hold a Master’s in Computer Applications (AI & ML) from LNCT University with an 8.0 GPA, and a Bachelor’s in Computer Applications from MCU University.I’m passionate about leveraging data to solve business problems, optimize processes, and provide actionable insights. Currently, I’m looking to connect with professionals in analytics and explore opportunities to grow in data-driven roles.
Experience
Data Analyst
Mar 2025 — Present · Lucknow, IN
I am currently working at Virtue Analytics in the product maintenance domain. Over the past 7+ months, I have analyzed large-scale financial aid data, consolidated information from 50+ U.S. colleges, and optimized reporting workflows—improving accuracy by 15% and reducing reporting time by 35%.During my internship, I enhanced model accuracy by validating 100+ academic transcripts, resolved anomalies to boost data readability, and improved decision- making.
Education
LNCT Group of Colleges
MCA AI/ML
2023 — 2025
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