Ashutosh Kumar ojha

Data-driven MCA student with hands-on experience validating, cleaning, and integrating messy real-world datasets using Python and SQL. Comfortable digging into why data looks wrong, not just flagging that it does. Seeking a Data Analyst Intern role focused on data quality and integration, where accuracy and curiosity directly translate into more reliable business decisions.

Data Analytics & Machine Learning Intern at Euphoria Genx (2024-09 – 2024-12)

• Improved downstream model reliability by 12 percentage points by identifying and resolving data quality issues — missing values, duplicates, and outlier anomalies — across raw datasets using Python (Pandas, NumPy), applying root-cause investigation rather than surface-level fixes.
• Reduced manual QA effort on recurring datasets by building reusable Python scripts to automate repetitive data-validation and preprocessing steps, freeing up time for deeper anomaly investigation.
• Ensured accuracy of business-facing insights by writing and validating SQL queries for multi-table extraction, filtering, and aggregation before visualizing trends in Matplotlib/Seaborn — catching data inconsistencies before they reached stakeholders.
• Strengthened cross-functional trust in data outputs by presenting findings and flagging data anomalies to a 4-person project team, translating technical data-quality issues into clear, non-technical explanations for review.

Master of Computer Application in MCA – Techno India University (2025 – 2027)

Bachelor of Computer Application in BCA – Nopany Institute of Management Studies (2022 – 2025)