Hi, I'm
Abhiram Indrala
Data Analyst & Aspiring Data Scientist
I turn complex datasets into clear, actionable insights using SQL, Excel, Tableau, and Power BI. My projects span HR analytics, sales performance, customer behavior, and entertainment analytics.
About Me
Data-driven storyteller passionate about transforming raw numbers into impactful narratives for business decisions.
I'm a Data Analyst & aspiring Data Scientist with hands-on experience building interactive dashboards and analytical solutions across HR, sales, e-commerce, entertainment, and customer analytics.
I specialize in ETL, data modeling, and visualization, using tools like SQL, Excel, Tableau, and Power BI to uncover patterns, trends, and opportunities hidden in data. My work focuses on clear communication, storytelling, and business impact.
Beyond technical skills, I value business context, stakeholder collaboration, and reproducible analytics. I'm actively expanding my skills in Python, machine learning, and cloud platforms to bridge the gap between analytics and data science.
HR · Retail & E‑commerce · Entertainment · Travel & Hospitality
Executive dashboards, KPI tracking, cohort analysis, funnel analysis, and storytelling decks.
Roles in Data Analytics, BI, and entry-level Data Science.
Technical Skills
A focused toolkit for data extraction, transformation, visualization, and basic predictive analytics.
Analytics & BI
- Tableau
- Power BI
- Excel (Advanced)
- Looker Studio
Data Engineering
- SQL (Joins, CTEs, Window Functions)
- Data Cleaning & Wrangling
- Data Modeling
Programming
- Python (Pandas, NumPy, Matplotlib)
- Basic Machine Learning
- Jupyter / Google Colab
Soft Skills
- Storytelling with Data
- Stakeholder Communication
- Problem Solving
- Business Acumen
Professional Experience
A snapshot of how I apply data analytics to solve real-world business problems.
Data Analyst – NIT Skills Academy
End-to-end data analysis, dashboard building, and reporting for training and academic operations, focused on turning raw data into clear, stakeholder-ready insights.
- Owned complete analytics lifecycle from data collection and cleaning to visualization and presentation.
- Built interactive dashboards in Tableau/Power BI to track course enrollments, learner performance, and engagement KPIs.
- Developed scheduled SQL and Python reports to support management decisions and operational improvements.
- Collaborated with non-technical stakeholders to define KPIs and translate findings into actionable recommendations.
Data Science & Machine Learning Internships
Worked across multiple internship programs focused on predictive modeling, automation, and SQL optimization, applying ML and analytics techniques to real-world datasets.
- Implemented machine learning models for classification, regression, and recommendation tasks in Python.
- Optimized SQL queries and data pipelines to improve runtime and reliability for analytics workloads.
- Automated repetitive reporting and data-preparation tasks using Python scripts and notebooks.
- Documented experiments, model performance, and business impact to communicate results effectively.
Featured Projects
A selection of dashboards and analytics projects showcasing my ability to explore data, design metrics, and communicate findings.
Career Vision
Where I'm heading as a data professional and how I want to create impact.
Short-Term Goals (1–2 Years)
- Join a data-driven organization as a Data Analyst or Business Intelligence Analyst.
- Lead end-to-end analytics projects from data collection to stakeholder presentations.
- Deepen expertise in SQL, Python, Tableau, Power BI, and cloud data platforms.
Long-Term Goals (3–5 Years)
- Transition into a Data Scientist / Analytics Engineer role.
- Design scalable analytics solutions and contribute to ML-powered decision systems.
- Mentor aspiring analysts and help build data-driven cultures within teams.
Contact Me
Whether it's a full-time role, collaboration, or a freelance project, I'd love to hear from you.
Feel free to reach out via email or connect with me on LinkedIn and GitHub. I'm always open to discussing new opportunities, data challenges, and interesting projects.