I Sahiti

Data Analyst @ Russell Reynolds Associates

About

Data Analyst | 5+ Years Transforming Raw Data into Strategic Business AssetsI don’t just "run reports"—I bridge the gap between complex datasets and executive decision-making. With 5+ years of experience across RRA and Wiztech, I specialize in building the data infrastructure and visualization layers that allow companies to scale efficiently and identify hidden revenue opportunities.WHERE I ADD VALUEIn my career, I’ve moved past basic data cleaning to focus on high-level strategy. Whether it's optimizing marketing spend, predicting customer churn, or automating manual reporting workflows, my goal is to ensure that every stakeholder has the right insights at the right time.KEY ACHIEVEMENTSOperational Efficiency: Automated 80% of weekly reporting for the [Department] team at [Company Name], saving 15+ hours of manual labor per week and reducing human error.Revenue Growth: Identified a $200k+ opportunity by analyzing [specific metric, e.g., customer lifecycle value] and recommending a targeted re-engagement strategy.Strategic Insights: Developed a suite of executive dashboards in [Tableau/Power BI] that became the "single source of truth" for the VP of Operations, leading to a 12% improvement in [specific KPI].MY TECH STACKLanguages: SQL (PostgreSQL, BigQuery, Snowflake), Python (Pandas, NumPy, Scikit-learn), R.Visualization: Tableau (Desktop/Server), Power BI, Looker, Google Data Studio.Tools & Platforms: Excel (VBA/Power Pivot), Airflow, dbt, GitHub, Jira.Methodologies: A/B Testing, Predictive Modeling, ETL Pipeline Development, Statistical Analysis.WHAT DRIVES MEI am a firm believer that data is only as good as the story it tells. I pride myself on my ability to explain "the why" behind the numbers to non-technical audiences. I thrive in environments where data is a team sport and collaboration is the key to solving complex problems.LET'S CONNECTI’m always looking to connect with fellow data nerds and business leaders. If you’re interested in discussing data strategy, automation, or the future of BI, feel free to reach out here or at i.sahiti111999@gmail.com.

Country

City

United States

Industry

Computer Software

Skill

Google Cloud Platform (GCP), Microsoft Power BI, Flask, Deep Learning, Data Science, Machine Learning, Amazon Web Services (AWS), Advanced Databse, Networking, Encoding and encryption, Cloud Computing

Experience

Data Analyst

Russell Reynolds Associates

2025-6 - Present · 1 yr 4 mos

New York, United States

▸ Engineered Tableau and Power BI dashboards with LOD expressions and KPI metrics on Snowflake data models, enabling self-service analytics for 50+ business users and cutting ad-hoc report requests by 40%. ▸ Automated Python (PySpark) and SQL open-source pipelines in Databricks to mine complex, voluminous structured and unstructured data sources at 10M+ row scale, reducing manual processing effort by 50% and pipeline runtime by 35%. ▸ Built end-to-end data lineage mapping, metadata cataloging, and business definitions documentation (source → transformation → consumption) in Snowflake and AWS S3, reducing analyst onboarding time by 30%. ▸ Enforced data governance framework — metadata standards, lineage, business definitions, data access security, and Informatica DQ validation rules — across Agile sprints, cutting reporting errors by 25% and improving data quality by 40%. ▸ Applied Lean process improvement to SQL and R-based regulatory reporting workflows in Snowflake, accelerating delivery

Data Analyst

WHIZTEC AI Enterprise Platform

2024-7 - 2025-5 · 11 mos

Dallas, TX

▸ Delivered advanced analytics using SQL, Python (PySpark), R, and Spark open-source technologies in Databricks, surfacing insights that improved decision-making efficiency across 5 product lines. ▸ Designed scalable Snowflake data models (star schema, joins, relationships) and built self-service Tableau dashboards, improving data usability and consistency across analytics platforms by 30%. ▸ Integrated 8+ complex, voluminous structured and unstructured data sources using Python, Spark, and AWS (S3, Lambda), expanding analytics capabilities, and enabling predictive modeling use cases by 25%. ▸ Implemented data quality, metadata, business definitions, and data access governance frameworks using Informatica DQ and SQL, reducing data inconsistencies and accelerating regulatory compliance in Agile/Six Sigma cycles. ▸ Constructed ETL pipelines with SQL and Databricks and authored lineage documentation and flow diagrams, quickly adopting new digital technologies to cut cross-team integration issues by 25%.

Data Analyst

NTT DATA

2020-1 - 2022-6 · 2 yrs 6 mos

Hyderabad

▸ Built SQL-based ETL pipelines and Python (PySpark) transformations processing 5M+ records in an Agile environment, improving reporting accuracy by 35% and eliminating manual reconciliation entirely. ▸ Developed Tableau and Power BI dashboards with LOD expressions and KPI reporting, reducing manual reporting effort and delivering real-time visibility into strategic business metrics for senior leadership. ▸ Mined complex, voluminous structured and unstructured data using open-source SQL, Python, R, and Spark tools, supporting predictive modeling initiatives that improved forecast accuracy. ▸ Governed enterprise datasets via metadata, lineage, business definitions, data access security, and Informatica DQ validation, reducing data quality issues by 30% and ensuring regulatory data integrity.

Junior Data Analyst

NTT DATA

2019-1 - 2019-12 · 1 yr

Hyderabad

▸ Boosted data accuracy by 25% by performing SQL-based validation and ETL cleanup on enterprise datasets, loading results into AWS S3 and reducing downstream reporting errors across 3 business units. ▸ Explored and rapidly adopted open-source SQL, Python, and R tools to perform analysis on structured and unstructured data, improving reporting quality by 20% and supporting BI stakeholders in quarterly reviews.