Summary
Overview
Work History
Education
Skills
Certification
Projects
Timeline
Generic

SHRIPAD KULKARNI

PUNE

Summary

An IT experience in historic data and apply statistical concepts to make cross-sectional predictions. Predictive analytics uses many techniques from data mining, statistics, modelling, machine learning, and artificial intelligence to analyze current data to make predictions about future

Overview

4
4
years of professional experience
1
1
Certification

Work History

Derivatives Specialist

SSHCL Services LTD
02.2022 - Current


  • A professional with experience in Python, Data Science and Machine learning with expertise in Financial domain projects.
  • Able to investigate Data Visualization and summarization techniques conveying key findings.
  • Ability to write a clean and production code with Object Oriented Programming in Python.
  • Experience in Web Framework Flask
  • Thorough understanding of Probability and Statistics, Bayesian methods, Time Series analysis.
  • Experience in data management tools - Relational and SQL databases.
  • Knowledge of Python’s Data Analysis and Machine Learning Libraries.
  • Source code management and Version Control system using Git and GitHub.
  • Strong communication and interpersonal skills. Ability to interact with customers with ease and professionalism.
  • Languages: Python.
  • Cloud Platforms/Services: Google Cloud Platform (GCP), AWS, Azure. Web stack: Flask.
  • Operating Systems: Linux, Windows.
  • Database: SQLite

Reconciliation Officer

ANZ BANK
12.2021 - 01.2022
  • This role is primarily responsible for the professional reconciliation of transactions passed over the NOSTRO Accounts in line with SLA requirements and The Group’s Suspense/Nostro Account Policy .


  • Identify opportunities for process improvement, quality in process delivery, customer focus and implement process improvements either at own instigation or under recommendation from Quality/Compliance area



Financial Analyst

Eclerx Services LTD
05.2019 - 11.2021
  • Experience in Cash Reconciliation, Wire Payments and Nostro Account Reconciliation.
  • Locating funds with the help of client provided swift messages or payment references. .
  • Working on SWIFT with external parties

Education

MBA - Finance

Sinhgad Business School
Pune
06.2019

Bachelor of Science - Computer Science

PN Collage SRTMUN
Nanded
05.2017

Skills

  • Machine learning: Linear Regression, Ridge & Lasso Regression, Logistic Regression, Naïve Bayes Classifier, k Nearest Neighbor’s Classifier, Support Vector Machine, Decision Tree, Random Forest, Gradient Descent, Ada-Boost, Gradient Boosting, XGBoost, K-means Clustering
  • Python/ML Packages: NumPy, Pandas, Sci-py, Scikit-learn, Seaborn, Matplotlib, Flask
  • AWS: Elastic Compute Cloud, Sagemaker, Notebook instance, AWS container, Simple Storage Services S3, Deployment, Multi cloud environment
  • TABLEAU & SQL
  • NLP,TIME SERIES ANALYSIS

Certification

TABLEAU FROM 3RI TECHNOLOGIES PUNE

Projects

  

Project: Axos Lending system Domain: Finance

Description:

CMV Group arsenal of lending and analysis tools to give edge over making lending prediction smooth and easier.

Roles and Responsibilities:

• Understand, analyze, and interpret large datasets

• Develop advanced programs to extract the data needed, prepare data for further analysis

• Discover, design, and develop analytical methods to support novel approaches of data and information processing

• Perform analysis to assess the quality of the data, determine the meaning of the data, and provide data facts and insights.

Timeline

Derivatives Specialist

SSHCL Services LTD
02.2022 - Current

Reconciliation Officer

ANZ BANK
12.2021 - 01.2022

Financial Analyst

Eclerx Services LTD
05.2019 - 11.2021

MBA - Finance

Sinhgad Business School

Bachelor of Science - Computer Science

PN Collage SRTMUN
SHRIPAD KULKARNI