May 2024 – May 2025 · 1 yr · Dallas, Texas, United States · On-site

• Key accomplishments include:
• Developed an advanced image detection model for circuit verification implementing TensorFlow and Keras, achieving a remarkable accuracy of 98.5%, which reduced manual inspection time by an impressive 70%.
• Implemented innovative machine learning techniques that increased throughput by 50%, streamlining workflows and boosting productivity across the entire engineering team.
• Designed and launched a comprehensive app suite for automotive applications using FlutterFlow and Firestore (NoSQL), resulting in a substantial improvement of user engagement metrics by 60%.
• Received exceptional feedback from stakeholders regarding prototype deployment for its usability and innovation, highlighting significant potential for future developments within automotive technology.

May 2022 – Sep 2022 · 4 mos · Visakhapatnam, Andhra Pradesh, India · On-site

• Key accomplishments include:
• Analyzed over 100k rows of steel-making data using advanced Excel techniques to identify inefficiencies in supplier contracts, resulting in annual savings of approximately $190,000 for the organization.
• Conducted rigorous validation and quality assurance processes on analyzed data to achieve a remarkable accuracy rate of 99.5%, ensuring reliable insights that facilitated critical decision-making efforts.
• Collaborated with cross-functional teams to implement strategic recommendations based on analytical findings that enhanced operational efficiency within the metallurgy department.
• Developed detailed reports outlining analytical insights that facilitated informed discussions during supplier negotiation meetings, leading to improved contract terms and better procurement strategies.

Aug 2021 – Apr 2022 · 8 mos · Remote

• Key accomplishments include:
• Spearheaded data automation initiatives that saved over 300 full-time equivalent hours by streamlining cross-departmental processes, enhancing operational efficiency throughout the organization.
• Collaborated with diverse teams to gather comprehensive business requirements that resulted in a notable 20% increase in technical reporting accuracy and effectiveness of data presentations across multiple projects.
• Developed engaging visualizations using Tableau to convey complex data insights clearly to stakeholders, facilitating informed decision-making and improving project outcomes.
• Conducted detailed analyses of various datasets to identify meaningful trends and patterns, delivering actionable recommendations that bolstered strategic planning efforts and optimized project timelines.