Lokesh Reddy S. — Data Scientist

I build the data infrastructure that makes reliable analytics possible, and then I use that infrastructure to answer the business questions that actually matter. With 3.5+ years of experience across analytics engineering and product data analytics, I specialize in turning raw, messy, unreliable data into clean, trusted, and business-ready analytical assets that teams can confidently act on. >> On the engineering side, I design and build multi-layer dbt transformation architectures on Snowflake, implement incremental models, enforce data quality through automated testing frameworks, and optimize query performance at scale. I think in terms of data contracts, lineage, and reusability, not just one-off queries. >> On the analytics side, I translate ambiguous business questions into structured analysis, build experimentation frameworks, perform customer segmentation and cohort analysis, and deliver self-serve BI solutions in Power BI and Tableau that reduce analyst dependency on ad-hoc requests. My core stack: dbt | Snowflake | SQL | Python | Apache Airflow | Power BI | Tableau | AWS | PostgreSQL | Amazon Redshift What I bring to a team: > Someone who can sit between the data engineering team and the business stakeholders and speak both languages fluently. I can model the data, analyze the data, and communicate the findings, without needing three different people to do it. Recent work I am proud of: >> At Adven Technologies, working with Monte Carlo Data as the client, I architected a multi-layer dbt project across 15+ data domains on Snowflake, processing 200M+ rows of event and behavioral data monthly. I implemented incremental models that cut full-refresh processing time by 45%, enforced data quality standards integrated with Monte Carlo's observability layer, and optimized Snowflake query performance by up to 50% on high-frequency reporting workloads. >> On the analytics side of the same role, I designed A/B testing frameworks, built churn prediction models using XGBoost, performed customer segmentation and cohort analysis, and delivered Power BI dashboards that enabled self-serve reporting for cross-functional teams. --> I hold a Snowflake SnowPro Core Certification and a Master of Science in Data Analytics and Engineering from Old Dominion University. --> Currently open to Analytics Engineer, Senior Data Analyst, and Product Data Analyst roles across the United States, remote or hybrid. --> Let us connect if you are building a modern data team.

Stackforce AI infers this person is a SaaS-focused Analytics Engineer with strong data infrastructure and analytics capabilities.

Experience: 4 yrs