Saikrishna K
Data Science Professional | Machine Learning & NLP Specialist | Advanced Data Analytics & Big Data Solutions | Skilled in TensorFlow, XGBoost, SVM, Random Forest, Time Series | SQL, Python, PySpark, Tableau, AWS.
- Role
- Business Analyst Regulatory Reporting Sql Aws Redshift Tableau Power Bi Uat at BlackRock
- Location
- Jersey City, NJ, US
- LinkedIn followers
- 500 followers
About Saikrishna K
I’m a results-driven Data Science professional with a strong academic and professional background in advanced analytics, machine learning, and cloud-based data solutions. I hold a Master’s in Business Analytics from Sacred Heart University and a Bachelor’s in Business Administration, combining technical depth with business insight. My passion for data stems from a curiosity to uncover patterns and build intelligent systems that drive measurable business impact. My journey began with hands-on academic projects, including a detailed analysis of SpaceX Falcon 9 launch data. I applied predictive modeling, SMOTE for class balancing, and visualization techniques to identify key factors influencing launch success and rocket reusability. Professionally, I’ve worked in both the banking and tech sectors. At Zions Bancorporation, I developed and deployed machine learning models—Logistic Regression, Random Forest, XGBoost, and SVM—to predict loan defaults and support risk analysis. I implemented time series forecasting using TensorFlow, optimized SQL queries, and leveraged AWS (Redshift, S3, Lambda) and PySpark to streamline data workflows. My contributions reduced processing times and enhanced model performance for real-time analytics. At Informative Web Solutions, I focused on data cleaning, A/B testing, and building scalable data pipelines using SQL Server, Python, and Databricks. I applied supervised and unsupervised learning techniques, visualized insights through Tableau and Seaborn, and delivered dashboards and reports that supported key business decisions. Across roles, I’ve developed strong expertise across the full data science lifecycle—from wrangling and exploration to model deployment and performance tuning. I’m proficient in Python, SQL, TensorFlow, Scikit-learn, Tableau, Power BI, AWS, and PySpark. Looking ahead, I aim to contribute to innovative, data-driven teams where I can apply machine learning, big data, and NLP to solve real-world business problems. I’m passionate about building scalable, intelligent solutions that turn complex data into clear, actionable strategies and long-term value.
Experience
Business Analyst Regulatory Reporting Sql Aws Redshift Tableau Power Bi Uat
Mar 2024 — Present · US
Directed requirement workshops with portfolio, compliance, and operations teams, capturing cross-functional needs and designing optimized regulatory reporting workflows in Lucidchart and Visio.2. Authored BRDs, FRDs, and Jira/Confluence user stories, enforcing compliance mandates and ensuring seamless integration of regulatory requirements into core system enhancements.3. Engineered Excel reconciliation templates and executed detailed variance analysis, eliminating 30% of trade and cash data discrepancies while strengthening overall audit readiness.4. Deployed AI/ML anomaly detection models across trade workflows, validating predictive outputs and enhancing exception identification accuracy in high-volume transaction data.5. Automated compliance narratives within Tableau and Power BI dashboards using GenAI, reducing manual reporting effort by 40% while improving consistency of insights for stakeholders.6. Orchestrated end-to-end UAT cycles, preparing test scripts, executing validations, and coordinating with QA teams to resolve issues, ensuring accuracy in reporting systems.7. Delivered AWS Redshift–powered dashboards that integrated AI/ML alerts and GenAI summaries, enabling leadership to monitor compliance risks and regulatory exposures in real time.8. Streamlined regulatory reporting pipelines and dashboard workflows, reducing reporting turnaround time by 25% and boosting efficiency of compliance deliverables.9. Collaborated with risk and compliance stakeholders to institute robust data quality controls, minimizing reporting errors and reducing audit-related rework across functions.10. Documented redesigned workflows, developed user training guides, and facilitated knowledge transfer sessions, ensuring smooth adoption of upgraded reporting processes.
Education
Sacred Heart University
Masters
2023 — 2024
Acharya Nagarjuna University
Bachelor of Business Administration - BBA
2019 — 2022
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