Skip to content

Annem Mallikarjuna

Data Analyst • Hyderabad • m*******************@gmail.com • +91*******459 • linkedin.com/••••• • drivetube.ai/•••••

Professional Summary

Data Analyst with 0 years of experience leveraging Python, SQL, Power BI and Tableau to collect, clean, analyze, and visualize data; skilled at building KPI-driven dashboards and delivering actionable insights to improve operational performance.

Technical Skills

Programming Languages: Python
Frameworks and Libraries: Pandas,NumPy,Statistical Analysis,Data Cleaning,Data Wrangling,Matplotlib,Seaborn
Databases: MySQL,SQL
Data and Analytics: Power BI,Tableau,Dashboarding,Data Storytelling,ETL
Tools and Methodologies: MS Excel,KPI Tracking,Reporting,Trend Analysis,Jupyter Notebook,Git,Data Validation

Work Experience

Rubxie AI
Data Analyst Intern
July 2025 – December 2025
Worked at Rubxie AI on a supply chain analytics engagement; delivered dashboards and analyses to improve inventory, supplier performance, and logistics decisions.
Tech Stack: Power BI, SQL, MySQL, Python, Pandas
  • Designed and delivered an interactive Power BI supply chain dashboard tracking demand, inventory health, supplier performance, logistics cost, and regional revenue to support operational decision-making.
  • Defined and implemented KPI framework (revenue, units sold, average lead time, shipping duration, defect rate) using SQL and Power BI, enabling identification of bottlenecks and reducing inventory imbalance by 18%.
  • Performed end-to-end data preparation using SQL and Python (Pandas) to join, clean, and aggregate transactional and supplier datasets, improving data reliability for downstream reporting.
  • Applied segmentation and trend analysis to identify supplier delays and high-cost logistics lanes; produced prioritized recommendations that reduced logistics expense and improved replenishment cycles by 15%.
  • Built reusable SQL data models and Power BI dataflows to standardize metrics and accelerate report refreshes; decreased manual report preparation time for stakeholders.
  • Compiled analysis briefs and presented dashboard-driven insights to cross-functional stakeholders, translating technical findings into actionable supply chain strategies.
ExcelR EdTech Pvt. Ltd.
Data Analytics Intern
December 2024 – April 2025
Worked at an EdTech company to perform analytics and reporting; focused on improving reporting accuracy and building KPI-driven dashboards for business stakeholders.
Tech Stack: Power BI, Tableau, MS Excel, SQL, Python
  • Executed data analysis and business reporting using SQL, Excel, Power BI, and Tableau, streamlining report generation and improving reporting efficiency and accuracy by 20%.
  • Developed KPI-driven dashboards and analytical reports to monitor learner and course performance trends across multiple datasets, enabling timely business decisions.
  • Performed data cleaning, transformation, and validation in Power BI and Excel to resolve inconsistencies and increase data reliability for reporting.
  • Applied data visualization standards and data storytelling techniques to present insights, improving stakeholder understanding and adoption of reports by 30%.
  • Delivered ad-hoc analyses and SQL queries to answer operational questions (enrollment trends, completion rates), reducing time-to-insight for the product and marketing teams.
  • Created standardized report templates and documentation to ensure consistency across dashboards and handoffs between analytics and business teams.

Projects

IMDB Movies SQL Analysis | November 2025
Tools Used: MySQL, SQL, Data Cleaning, Data Analysis
  • Explored IMDB movie and director datasets using MySQL to identify top-grossing movies and directors and extract performance trends.
  • Executed joins, GROUP BY, ORDER BY, LIMIT and OFFSET to answer analytical questions and optimize query efficiency, improving query-driven insights.
  • Analyzed director activity, gender distribution, and post-2000 rating trends using filtering and data cleaning to ensure accurate reporting of movie performance.

Education

Sree Venkateswara Degree College, Kadapa
Bachelor of Science in Mathematics, Computer Science & Statistics • Kadapa • September 2022 – May 2025
Narayana Junior College, Kadapa
Board of Intermediate Education • Kadapa • June 2020 – March 2022

Certifications

Certified Data Analyst — NASSCOM
Certified Data Analyst — IABAC
Certified Data Analytics — APSCHE & ExcelR
Programming Foundations with Python — NxtWave
Government-recognized internship — APSCHE

Powered by Drivetube · Create your own profile at drivetube.ai