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Deekshith V Email & Phone Number

Analytics Engineer at Goldman Sachs
Location: United States 4 work roles 2 schools
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✓ Verified Jul 2026 3 data sources Profile completeness 86%

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Role
Analytics Engineer
Location
United States
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Who is Deekshith V? Overview

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Deekshith V is listed as Analytics Engineer at Goldman Sachs, a with 59372 employees, based in United States. AeroLeads shows a matched LinkedIn profile for Deekshith V.

Deekshith V previously worked as Data Analyst at Hindustan Petroleum Corporation Limited and Data Analyst Intern at Indus River Networks. Deekshith V holds Bachelor'S Degree, Mechanical Engineering from Gitam Deemed University.

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Goldman Sachs

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About Deekshith V

My career journey has been defined by an unwavering passion for learning and tackling complex challenges. At Goldman Sachs, I discovered a personal interest in Transactional Banking, driven by a fascination with how Fraud and Risk metrics can be engineered to measure product growth and deepen customer engagement. I honed my skills in data analysis, risk management, and workflow optimization, leading cross-functional teams to drive strategic outcomes. My early career was a proving ground where I leveraged analytical rigor, problem-solving, and clear communication to reshape operations and elevate data management practices, transforming challenges into opportunities for growth.

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Goldman Sachs
Goldman Sachs
Analytics Engineer
new york, new york, united states
Employees
59372
AeroLeads page
4 roles

Deekshith V work experience

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Analytics Engineer

Current

United States

By diving deep into data across QA, UAT, and Production environments, I was able to pinpoint failure patterns that were causing inefficiencies in credit card payments, ultimately leading to a 25% reduction in issues. Using a combination of A/B testing, SQL, and Excel tools like VLOOKUP and PivotTables, I identified the root causes, which directly improved the payment flow. But my work didn’t stop there. By seamlessly integrating Salesforce data into Tableau dashboards, I built an analytics routine that unlocked insights on key growth drivers, resulting in a 30% increase in decision-making accuracy—leading to a 20% boost in user acquisition and 15% revenue growth.Tackling inefficiencies, I automated data processing between AWS-S3 and Snowflake using AWS Glue and Airflow, improving processing efficiency by 20%. I then developed a Python-based ETL workflow for risk metrics reporting, boosting reporting efficiency by 30% as the results were hosted on Splunk, allowing the operations and BI teams to act faster. My passion for tackling fraud also came to life when I built an alert-triggering platform and a Splunk dashboard to monitor incident severity, increasing fraud detection by 30% and saving the company $250,000 per quarter.When working with product owners, I analyzed Snowflake and MicroStrategy data to assess development trends, which led to a 25% increase in user growth as we prioritized long-term growth strategies. On top of that, I defined operational metrics and created over 100 Tableau reports, increasing efficiency by 15%, and streamlined workflows by 20% using Alteryx to automate ETL processes. Through these efforts, I not only saved time but ensured data accuracy and faster insights, driving the business forward.

Oct 2022 - Present

Data Analyst

Visakhapatnam, Andhra Pradesh, India

I had the opportunity to dive deep into diverse industry operations, where I examined supply chain dynamics from every angle. Through this hands-on exploration, I uncovered key insights that transformed how we approached quality and customer satisfaction, leading to a 15% improvement. By working closely with vendors, I not only enhanced service quality by 15% but also streamlined the prioritization of their key requirements, cutting through the backlog with a 30% improvement in efficiency.One of my most rewarding experiences was conducting an in-depth analysis of the layout for a new distribution center. By leveraging advanced analytics tools, I was able to optimize the design, resulting in a 20% boost in operational efficiency. We didn’t just focus on speed; safety was a top priority, and we implemented stronger protocols to ensure a safer environment. This thorough approach enabled us to resolve issues quickly and ensure that the distribution center was operating at its best from day one.

Nov 2020 - Jul 2021

Data Analyst Intern

Hyderabad, Telangana, India

In my role as a Healthcare Data Analyst, I am dedicated to enhancing the operational efficiency and compliance of healthcare programs through advanced data analysis, automation, and reporting. My work centers on enabling healthcare providers to make informed, data-driven decisions that improve patient outcomes and streamline operations. Key highlights of my experience include:Driving Cost-Saving Initiatives: Conducted comprehensive analyses of healthcare program metrics, identifying utilization gaps and highlighting cost-saving opportunities. These insights contributed to a 25% reduction in operational expenses for healthcare providers, supporting more efficient resource allocation.Building Interactive Dashboards: Developed and deployed Tableau dashboards to track key metrics, including prescription trends, compliance status, and inventory management. These visualizations empower healthcare stakeholders with timely insights and facilitate proactive decision-making.Automating Data Pipelines: Leveraged SQL and Python to design automated data pipelines for processing claims and prescription data. This automation improved data accuracy by 30% and reduced processing time by 20%, ensuring seamless integration with patient management systems and enhancing data quality.Ensuring Regulatory Compliance: Created and implemented audit routines and data checks in alignment with HRSA guidelines. These measures reduced data discrepancies and improved audit readiness by 40%, strengthening the organization’s compliance framework and minimizing regulatory risks.Through a combination of analytical expertise, automation, and a commitment to compliance, I am focused on making a tangible impact within the healthcare sector by optimizing processes, enhancing data quality, and supporting healthcare providers in delivering better patient care.

Feb 2020 - Oct 2020

Manufacturing Trainee

Visakhapatnam, Andhra Pradesh, India

-Investigated Conventional, Electric, and Hybrid Vehicle Technology to support environmental sustainability.-Executed a data driven root cause analysis on Electric Vehicles batteries, utilizing performance, characteristics, and suitability to guide informed decisions in the-Improvement of Electric Vehicle batteries for optimal efficiency.-Conceptualized and optimized the Electric Propulsion System of an Electric Vehicle by extensive testing and analysis of performance indicators, resulting in maximizedperformance and decreased aerodynamic drag and rolling resistance.-Spearheaded a team of 10 members in the integration of a new technology and increased team engagement from 70% to 100%.

May 2020 - Jul 2020
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2 education records

Deekshith V education

FAQ

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What company does Deekshith V work for?

Deekshith V works for Goldman Sachs.

What is Deekshith V's role at Goldman Sachs?

Deekshith V is listed as Analytics Engineer at Goldman Sachs.

Where is Deekshith V based?

Deekshith V is based in United States while working with Goldman Sachs.

What companies has Deekshith V worked for?

Deekshith V has worked for Goldman Sachs, Hindustan Petroleum Corporation Limited, Indus River Networks, and Verzeo.

Who are Deekshith V's colleagues at Goldman Sachs?

Deekshith V's colleagues at Goldman Sachs include Mary Katherine Blakley, Steven Henry, Luis Goudet, Betel Yemane, and David Bai.

How can I contact Deekshith V?

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What schools did Deekshith V attend?

Deekshith V holds Bachelor'S Degree, Mechanical Engineering from Gitam Deemed University.

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