Headline

Data Science Graduate | Aspiring Data Analyst & Cybersecurity Professional | SQL • Python • Power BI | AML/KYC Compliance Enthusiast | Open to Opportunities

About

• Data Science graduate with hands-on experience in Data Analytics, Machine Learning, and Anti-Money Laundering (AML). • Proficient in Python, SQL, Pandas, NumPy, scikit-learn, and Data Visualization. • Experienced in data preprocessing, exploratory data analysis (EDA), feature engineering, model evaluation, and reporting. • Developed data science projects including: Steel Industry Energy Consumption Prediction using Logistic Regression and Decision Trees Bank Marketing Analysis using regression algorithms, feature engineering, and model evaluation Fruits & Vegetables Freshness Detection using Deep Learning (EfficientNetV2, DenseNet121, and ConvNeXt) • Built an End-to-End AML Monitoring & Case Management System featuring: Transaction Monitoring Risk Scoring Alert Generation Alert Prioritization Case Management Investigator Assignment SAR Decision Logic • Strong understanding of AML, KYC, Customer Due Diligence (CDD), Transaction Monitoring, Risk Assessment, and Financial Crime Compliance fundamentals. • Passionate about leveraging data-driven insights to solve business problems, improve decision-making, and support financial crime prevention initiatives. • Actively seeking opportunities in Data Analytics, AML, Transaction Monitoring, Risk & Compliance, and Financial Crime Operations.

Location

Greater Hyderabad Area

Work experience

Machine Learning Intern at UNP Education, Jul 2024 - Dec 2024 · 6 mos, Remote, 1. I gained comprehensive experience in data pre-processing, visualization, and supervised machine learning with Python, scikit-learn, and Pandas. 2. I have applied my learning to real-world projects, such as: (a) Predicting Steel Industry Energy Consumption using Logistic Regression & Decision Trees. (b) Bank Marketing Analysis with regression algorithms, feature engineering, and model tuning. 3.Through these projects, I strengthened my skills in EDA, feature selection, correlation analysis, pipeline building, and model evaluation, while focusing on improving model accuracy and interpretability. 4. I also gained valuable experience in collaborative teamwork, participating in peer reviews, feedback-driven development, and milestone tracking. I am now looking forward to applying my skills in data science and machine learning to solve real-world business problems and grow as a professional in this field.

Associate at Roku Digital, Feb 2024 - May 2024 · 4 mos, Hyderabad, Telangana, India

Data Science Intern at IBM, Feb 2024 - Mar 2024 · 2 mos

Volunteer at SAGA EVENT, Feb 2024 - Feb 2024 · 1 mo

Education

Bachelor of Science - BS, Data Science, Bhavans vivekananda college

12th, Mathematics and Computer Science, Narayana Junior College - India