Nikhil Kumar Jha

Angestellt, Applied Scientist, Audible GmbH

Berlin, Deutschland

Über mich

Berlin-based Applied Scientist skilled at Audible (Amazon), translating complex data into actionable insights to drive customer experience with the product and better decision-making processes. Specialized in topics like personalized recommendations, modeling relevance in ranking, NLP with transformer-based large language models (BERT, GPT, Claude, Llama, Falcon), semantic search with intent understanding, time series analysis and forecasting, multivariate and Bayesian statistics, incremental lifetime revenue of customer, and double machine learning for causal inference. Particularly enjoy collaborating with stakeholders and working in multidisciplinary teams to effectively communicate findings and deliver end-to-end data science solutions.

Fähigkeiten und Kenntnisse

Deep Learning
Artificial intelligence
Machine Learning
Software Development
Statistics
Algorithm
Neural Networks
Engineering
Business Intelligence
Natural Language Processing
Generative AI
Large Language Models
Recommender Systems
Stakeholder Management
Data Analysis
Python
SQL
Leadership
Communication skills
Critical thinking

Werdegang

Berufserfahrung von Nikhil Kumar Jha

  • Bis heute 1 Jahr und 7 Monate, seit Dez. 2022

    Applied Scientist

    Audible GmbH

    As an Applied Scientist, my responsibilities include crafting personalized recommendations, employing large language models for the different use cases, optimizing revenue among other metrics through predictive modeling, developing deploying data ETL processes for production efficiently, and collaborating across teams for seamless integration and informed decision-making.

  • 1 Jahr und 3 Monate, Okt. 2021 - Dez. 2022

    Senior Data Scientist

    TeamViewer Germany GmbH

    - Development and automated deployment of ETL workflows using DBT and Redshift DWH - Lead and coordinated operation of different cross-team BI and Data Science projects - Competitive Intelligence - crawl and analyze the competitor's product pricing and feature information to drive insights - Analyzed feature usage data to understand customer behavior, predict conversion, and lead generation - Detecting product's commercial usage using rule-based and ML methods to push for free-to-paid conversion

  • 1 Jahr und 4 Monate, Juli 2020 - Okt. 2021

    Data Scientist

    CHECK24 Vergleichsportal

    - Personalized recommendations using Session-based, Collaborative Filtering, and Hybrid recommender - Employing Fuzzy Pattern and NLP algorithms to match products based on textual and numerical attributes - Conducting time-series predictive analytics on hotel prices - Using ARIMA, RNN, LSTM, and GRU for precise time-series price forecasting - NLP algorithms - traditional and deep learning, for email classification and topic modeling - ML for fraud detection in bookings and voucher coupon distribution

  • 2 Jahre und 5 Monate, Feb. 2018 - Juni 2020

    Data Scientist

    Fraunhofer IEM

    1. Fraunhofer IEM Developed infrastructure and an end-to-end data science solution to perform anomaly detection on event data captured from an autonomous car trained using reinforcement learning, and used optimization techniques like unsupervised feature selection, hyperparameter optimization, neural architecture search, etc. 2. University of Paderborn Worked with deep learning models for computer vision tasks and strategies to compress them in order to deploy them in resource constrained environments.

  • 2 Jahre und 9 Monate, Feb. 2015 - Okt. 2017

    Senior Software Engineer

    Synopsys Inc

    - Developed emulation solutions - supporting 7+ clients, with a focus on system-level design / verification. - Managed a team of 4 and involved in hiring resources, onboarding, and delivering training workshops.

Ausbildung von Nikhil Kumar Jha

  • 2 Jahre und 8 Monate, Sep. 2017 - Apr. 2020

    Computer Engineering

    Universität Paderborn

  • 3 Jahre und 11 Monate, Aug. 2011 - Juni 2015

    Electronics and Communication Engineering

    GGSIPU

Sprachen

  • Englisch

    Muttersprache

  • Deutsch

    Gut

Interessen

Marathonlauf
Reading
Travelling

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