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Harshitha Josyula

@harshithajosyula

Data Analyst focused on predictive analytics, SEC research, and BI dashboards that turn complex data into investable decisions.

United States

Message

What I'm looking for

I’m looking for a role where I can build predictive analytics and BI dashboards, work with real-world financial and operational data, and turn complex research into clear, stakeholder-ready decisions using modern data pipelines.

I’m a Data Analyst with 3+ years of experience delivering end-to-end analytical solutions across finance, investment research, and operations. I build and optimize data workflows—then translate the results into decision-ready models and dashboards for stakeholders.

In my current role, I analyze 3.5M+ SEC Form 4 insider trading disclosures to detect high-signal buying and selling clusters. I’ve also applied NLP and LLM APIs to 208,000+ insider biographies and 10-Q filings, and I built predictive scoring models that unify multiple insider trading signals into an investment screening algorithm.

Previously, I engineered automated ETL pipelines and improved SQL efficiency, reclaiming 15 hours/week of analyst time. I also developed predictive pricing models and forecasting approaches that improved profit margins by 12%, strengthened reporting reliability, and reduced decision turnaround time by 30%—all while creating Power BI and Tableau dashboards to make insights usable in real time.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

GK Advisors

Jan 2026 - Present (6 months)

Analyzing SEC Form 4 insider trading disclosures with Python and SQL to detect buying/selling clusters and surface high-signal opportunities across thousands of public companies. Built data pipelines, applied NLP/LLM analysis to insider biographies and filings, and developed predictive scoring models with Power BI/Tableau reporting.

Python SQL SEC Form 4 Analysis Data Pipelines ETL NLP Clustering predictive modeling Power BI Tableau

Data Analyst

Umbridge County (UMBC)

Jan 2024 - Dec 2025 (1 year 11 months)

Owned end-to-end analytics for Student Affairs and Student Disability Services, turning stakeholder requests into structured analysis plans and cutting decision turnaround time by 30%. Merged datasets with SQL and GCP to improve resource allocation precision by 35%, built Power BI/Tableau dashboards, and used multivariate Python/R trend models to flag utilization anomalies early.

SQL GCP Power BI Tableau Python R Multivariate Trend Modeling Anomaly Detection

Data Analyst

DBS Tech India

Jul 2022 - Dec 2023 (1 year 5 months)

Engineered automated ETL pipelines processing 1M+ records per month, reducing ingestion errors by 40% and eliminating overnight batch failures. Optimized SQL reporting by 30% (reclaiming 15 hours/week) and built predictive pricing models that increased profit margins by 12% and average sale value by 25% within 6 months.

ETL SQL Python R Forecasting

Associate Data Analyst

OpenText

Jan 2022 - Jun 2022 (5 months)

Implemented standardized SQL validation protocols to boost reporting reliability by 10% and developed Python-based trend models improving decision efficiency by 18% across global workflows. Standardized an internal data dictionary to strengthen analytical reproducibility and cut onboarding time for new analysts.

Python Trend Modeling Data Documentation