Vikalp Upadhyay

AI Researcher

Hyderabad, Telangana, India5 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Cloud-Ops and system reliability.
Proficient in Python and data analytics.
Strong background in credit risk analytics.

Stackforce AI infers this person is a Fintech professional with expertise in data analytics and cloud engineering.

Contact

Skills

Core Skills

PythonTableauData ScienceForeign Investment

Other Skills

AWS CloudTrailAWS LambdaAmazon CloudWatchAmazon DynamodbAmazon EC2Amazon EKSAmazon S3Amazon Web Services (AWS)BashBitbucketBoto3C++Cloud ComputingComputer VisionConvolutional Neural Networks (CNN)

About

An individual who gets into problems regularly, resolves them regularly and upgrades regularly. Endorses system reliability with the power of Cloud-Ops. A Cartophile with interests in Geography and Economics.

Experience

5 yrs 3 mos

Total Experience

1 yr 9 mos

Average Tenure

4 yrs 7 mos

Current Experience

Amazon web services (aws)

2 roles

Delivery Consultant, Big Data and ML

Promoted

Sep 2025 – Present · 9 mos · Hyderabad, Telangana, India · On-site

Cloud Engineer (IC) - (Analytics & Observability)

Nov 2021 – Sep 2025 · 3 yrs 10 mos · Hyderabad, Telangana, India · On-site

Standard chartered bank

SDE I (Credit Risk Analytics)

Aug 2021 – Nov 2021 · 3 mos · Chennai, Tamil Nadu, India · On-site

Developed compliance and production grade micro-services with best practices.
Worked with cross-profile teams to upstream BigData from multiple systems to identify and visualize the potential credit risks involved with Corporate and Institutional Banking solution. Technology used - Teradata, MySQL, Tableau, Microsoft Excel.

PythonPandasTableauJenkinsJupyterTeradata+5

Indian institute of technology, indore

Undergraduate Research Intern

Jan 2021 – Jun 2021 · 5 mos · Indore, Madhya Pradesh, India · Hybrid

Interned as Data Science Researcher. Worked on Indirect impact and determinants of Foreign Direct Investment in India. Where day-to-day responsibility revolved around collecting, organizing, reading, relating data from various sources, and performing various statistical analyses to infer important research outcomes.

NumPyPandasForeign InvestmentConvolutional Neural Networks (CNN)Development EconomicsSciPy+4