Raj Shukla

Experience

• 

  MR Fieldwork & Research

  Jul 2016 - Feb 2018

  DE Team and Project Manager

  Taking care of Multi-Country Projects (Consumer, B2B & Healthcare): Qualitative, Quantitative & OnlineConducting fieldwork in Europe, Asia & USHandling Team of Data Mining & Extraction responsible for extracting the data through secondary researchProviding BD Data to Sales/Business Development ExecutivesExtracting BD Data from LinkedIn, and other sourcesManaging DE Team responsible for finding BD DataManaging Online Tool for creating redirects for Online SurveysManaging Web Presence & SEO of the Company Show less

• 

  Tata Consultancy Services

  Mar 2018 - Nov 2022

  Scoring Engine for assigning resources to engagements:- This involves developing a system or algorithm that automatically assigns resources to different engagements orprojects based on specific criteria or requirements. The scoring engine would evaluate various factors related to theengagements and available resources to make optimal allocation decisions.Python Libraries: Pandas, DjangoEngagement Delivery Success Model:- This project entails building a supervised machine learning model to predict the success of engagement delivery. Themodel would be trained on historical engagement data with labeled outcomes (success or failure). FastAPI, a Pythonframework for building APIs, would be used to create an API that allows users to consume the model predictions bysending input data and receiving the predicted delivery success outcome.Python Libraries: Pandas, Django, FastAPIReport generation application for Engagements, Project, Client Level Report for various KPI metrics:- This involves developing a Django web application capable of generating various types of reports for engagements,projects, and clients. The reports would include key performance indicators (KPIs) related to engagement success, projectprogress, and client satisfaction. The application would have the capability to generate a large volume of PDF reports,ranging from upto 2000 reports, efficiently and accurately.Python Libraries: Pandas, Seaborn, pdfkit (WKHTMLTOPDF), Django, OpenCV Show less

  • Senior Python Developer

    Mar 2019 - Nov 2022

  • Python Developer

    Mar 2018 - Mar 2019
• 

  Deloitte

  Nov 2022 - now

  Automated Signature Placement in PDF Forms:- This involves a Python script to automatically place signatures within PDF forms. This includes extracting signatureimages, determining their placement within the form, and programmatically inserting them.Python Libraries: Pandas, Numpy, PyMuPDF, Pillow, PyPDF2Variance Analysis between tabular data:- This task entails comparing data between two files in Python to identify differences or variances.Python Libraries: Pandas, re, traceback, functoolsVariance Analysis between Tabular Data and XML file:- Similar to the previous item, but one of the datasets is in XML format.Python Libraries: pandas, xmltodict, re, traceback, functools, bs4Splitting Huge PDF files based on keywords:- This involves a Python script to split large PDF files into smaller ones based on specified keywords. The script wouldsearch for the keywords within the PDF document and segment the file accordingly.Python Libraries: re, PyPDF2, pandas, pdf2image, pdfplumber, pytesseract, PillowAutomated Invoice download from Client Platform to Local System:- This requires automating the process of downloading invoices from a client's platform to the local system using Python.Python Libraries: Pandas, SeleniumDeveloped Salesforce License Utility to manage active user licenses:- This involves developing a utility in Python to manage active user licenses within Salesforce.Python Libraries: pandas, win32com, cryptography, selenium Show less

  • Senior Consultant

    Jun 2024 - now

  • Consultant

    Nov 2022 - now