Abishek KS

Aspiring Data Analyst (Fresher) with a 6-month offline Data Science course at Imarticus Learning (2025–2026); skilled in Python, SQL, Power BI, EDA, and end-to-end data analysis workflows. Proficient in data cleaning, preprocessing, feature engineering, and data storytelling using Pandas, NumPy, Seaborn, and Matplotlib. Built 2 ML/DL projects achieving 88% (XGBoost/NLP) and 85%+ (CNN/Deep Learning) accuracy; experienced with Scikit-learn, TensorFlow, XGBoost, and NLP (TF-IDF, Sentiment Analysis). Basic to intermediate knowledge of Machine Learning and Deep Learning applied through real-world projects; familiar with Hypothesis Testing, A/B Testing, and Distribution Analysis. Skilled in Power BI dashboards, KPI reporting, and stakeholder reporting; basic awareness of Tableau for business intelligence and data visualisation.