top of page

Nimanshi Jha 

Data Scientist @ PwC Germany

Phone: (+49) 015752854259

​

Email:
nimanshi9j@gmail.com | nimanshi.jha@pwc.com

​

Address:

Frankfurt am Main, Germany

LinkedIn | Xing | Twitter | Kaggle | GitHub

In a Nutshell

Nimanshi is a Data Scientist in the Data & Analytics team in Germany, with a passion for driving data-driven insights and solutions, bringing a diverse range of skill set and valuable experience. With a background in machine learning, data science and engineering, Nimanshi possesses a strong foundation in the field. Through her professional journey, Nimanshi has demonstrated ability to build end to end MLOps Pipelines from Scratch. Her expertise in automation, data quality, and management has proven instrumental in optimizing processes and ensuring accurate and reliable results. Driven by a commitment to continuous learning, Nimanshi stays at the forefront of the field, actively seeking out the latest advancements and emerging technologies.

skills_graphic_edited.png

Work Experience

pwc_skills_edited.png

10/2022 – Present
Frankfurt, Germany 

pwc_logo_edited_edited_edited.png

04/2022 – 09/2022
Frankfurt, Germany 

suwag_logo_edited_edited.png

10/2022 – 03/2023
Bingen, Germany 

b_logo2_edited.png

PwC Deutschland | Data Scientist

Team : CDO - Product and Technology

​​

  • Orchestrated the initiative to improve data quality and successfully led the data upload and quality team to ensure ensure the highest standards of accuracy and reliability in data management.Implemented routine data cleaning processes to ensure accuracy and reliability.

  • Initiated and developed a proof of concept leveraging natural language processing techniques and LLM for data extraction, showcasing innovation in data management.

  • Collaborated with senior leadership to craft an in-depth White paper exploring the applications of generative AI in advancing sustainability initiatives.

PwC Deutschland | Intern

Team : Sustainability

​

  • Developed expertise in diverse EU sustainability frameworks, with a specialized focus on the EU Taxonomy, LKSG, SFDR and Pathway to Paris.

  • Created dashboards to monitor and track data quality metrics and identify opportunities for process optimization.

  • Using Python scripts to automate manual processes of pdf download and management, reducing time by 40% and increasing accuracy by 70%

Suewag Energie AG (Syna) | Working Student 

Team: Digital Process and Data 

​

  • Implemented end-to-end Machine Learning Operations for Predictive Maintenance of Power Cables,encompassing data preprocessing, model development, deployment, monitoring, and retraining stages.

  • Conducted thorough analysis, cleaning, encoding, and interpretation of data. Leveraged SQL to extract necessary spatial data from the database, employing Object-Oriented Programming (OOP) for optimized code.

  • Developed an Automated Data Profiling module to expedite analysis, facilitating the swift generation of detailed reports with single line of code.

Technical University of Applied Science Bingen | Thesis - Similarity Search with Vector Embeddings for PDF Documents 

  • Conducted an empirical investigation into the transformation of PDF documents into vector embeddings through the utilization of RNN, LSA, and Doc2Vec. Evaluated the effectiveness of these embeddings in downstream tasks, with a focus on category prediction. Implemented a systematic pipeline for PDF preprocessing, content extraction, embedding generation and ML model evaluation, thereby contributing valuable insights to the field of document analysis and classification through the numerical representation of PDF content.

Technical University of Applied Science Bingen | Major Project - Serverless FinOps Reporting with Evoila GmbH

  • Led a project as a Product Owner and Developer in Scrum Agile, setting
    up a serverless environment for cost data storage and analysis,
    implementing Lambda functions, API gateway, and automated reporting.

04/2022 – 09/2023
Bingen, Germany 

srm_logo_edited_edited.png

01/2019 – 05/2019
Chennai, India 

SRM Institute of Science and Technology | Thesis - Comparaive Study on Clustering Validation Indices 

  • Presented a detailed Report on Literature Survey on Factors affecting Clustering Indices, Cluster Validity Measurement Techniques. Studied useful metrics to evaluate cluster cohesion, purity, & accuracy. Extensively compared several cluster validity indices for both artificial and real-life datasets.

06/2018 – 06/2018
Nagpur, India 

persistent_logo_edited_edited.png

Persistent Systems | Academic Intern

​

Project: Data Connector

  • Collaborated on optimizing customer database management by writing interface to fetch user data, connecting to the database, and analyzing data using Python and SQL.

Education 

IGCHE Dual Degree

Technische Hochschule Bingen| Bachelors Informatik | Bingen (Germany) | Graduation February 2023

SRM Institute of Science and Technology | BTech Computer Science Engineering | Chennai (India)

 

Relevant Coursework: Machine Learning, Big Data, and Data Engineering, Python, Agile Project Management, Discrete Mathematics, Probability, and Queuing Theory, Advanced Calculus and Complex Analysis, Data Structures, Object-Oriented Programming, Algorithm Design and Analysis, Database management Systems, Cloud Computing, Digital Image Processing

COURSES AND CERTIFICATIONS

​

  • DSH Certificate: DSH 2 - B2-C1 Niveau, Goethe Universität Frankfurt [12/2021]

  • Deeplearning.AI Coursera – Neural Network and Deep Learning, Introduction to TensorFlow for AI, ML & DL, Convolutional Neural Networks in TensorFlow, Sequences, Time-Series, and Prediction

  • Kaizen Robotics Lema Labs: Certificate by IIT Madras und Hasura - 8 weeks Hands-On workshop 

  • Ideathon Presentation - Papientrega 2.0: medical assistant

  • Semi-Colon 3.0: Coding Competition - Semi-Colon 3.0(round 2) - ITA SRM IST

  • Virtual Reality Workshop: Organized by EEEA SRMIST & Robocart ICON (National Level Technical Fest)

LANGUAGE SKILLS : English (Native Language) | German (C1/Fluent) 

HONOURS AND AWARDS

​

Udacity Secure and Private AI Challenge Scholarship by Facebook Artificial Intelligence

Udacity Bertelsmann Technology Scholarship powered by Bertelsmann

LEADERSHIP AND VOLUNTEERING EXPERIENCE

​

  • LEO Club President -  Lions Club International - Lions Club Nagpur Centennial (2019-20)

  • AARUUSH 2016: SRM IST Techno-Management Fest: Volunteer in ROBOGYAN

  • SRM IEC 2016-MUN (Model United Nations): As ISS in committee Persistent Past

  • JASMINE - JCI India: Training Program Gwalior- Personality Development

  • LEO Club Mainz: Member (2022-2023)

Let's Get

Social

  • Xing Social Icon
  • Twitter Social Icon
  • LinkedIn Social Icon
  • Instagram
  • Facebook Social Icon
Image by Brett Jordan

Want to Know me More ?

bottom of page