Vikrant Thakur
@vikrantthakur
Senior data analyst delivering data frameworks and automated insights that drive decisions.
What I'm looking for
I’m a Senior Data Analyst with 7.5+ years of multi-domain experience building core data frameworks across Maersk, American Express, and Lumiq.ai. I’ve delivered measurable impact—20% improvement in reporting accuracy, cut monthly manual effort by 2 days, and reduced analyst dependency by 40%—by redesigning SQL data pipelines, adding Python automation, and strengthening KPI intelligence reporting.
At Maersk, I owned and maintained the Ocean Market Sizing framework used by leadership for market-share KPIs. I built a reliable monthly automated process integrating data from 10+ web/API/SQL sources into a consolidated MS SQL database, and created an organization-wide Newscast Archive & Intelligence Dashboard using Python-based NLP and OpenAI LLMs for keyword tagging and faster insight retrieval.
I also bring business-ready communication to technical work—turning complex analysis into clear, actionable storytelling for senior strategy stakeholders while partnering across engineering and product teams.
Experience
Work history, roles, and key accomplishments
Owned and improved the Ocean Market Sizing framework, delivering ~20% higher reporting accuracy by redesigning ETL and standardizing SQL pipelines. Built automated monthly reporting (integrating 10+ web/API/SQL sources) and developed an NLP dashboard using OpenAI LLMs to enable faster retrieval of historical logistics insights.
Led bureau data consolidation and in-house size-of-wallet modeling, reducing processing load and eliminating external vendor contract costs. Authored Python automation for data validation and statistical reporting, cutting QC cycle turnaround time and reducing analyst dependency by 40%.
Supported onboarding of new accounts across card, lending, and digital banking products by collaborating with stakeholders to add required insights for risk decision systems. Managed third-party bureau data and maintained 500+ risk variables across global markets for credit and fraud use cases.
Engineered collection and transformation of streaming mobile sensor data using Apache Kafka, Apache NiFi, and Vespa.ai. Built and revamped Python/Node.js microservices with Docker and improved application efficiency 10x via multithreading while coordinating integrations with design and security teams.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Roorkee
Bachelor of Technology (B.Tech), Technology
2014 - 2018
Grade: CGPA: 7.5 / 10
B.Tech degree from IIT Roorkee (2014–2018), achieving a CGPA of 7.5/10.
Maharashtra State Board
Higher Secondary Certificate (HSC), HSC
Grade: 87%
Completed HSC (12th) in 2014 from the Maharashtra State Board with 87%.
Maharashtra State Board
Secondary School Certificate (SSC), SSC
Grade: 90%
Completed SSC (10th) in 2012 from the Maharashtra State Board with 90%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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