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Amani Prasad

Amani prasad

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location of Amani PrasadBengaluru, Karnataka, India
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  • Timeline

  • About me

    Building Generative AI capabilities

  • Education

    • Mangalayatan university, india

      2007 - 2011
      Bachelor of technology (b.tech.) computer science & engineering a

      Activities and Societies: Algorithm Design for real-life problem. Data mining and image processing. Operating System Analysis and design of algorithm study of computers and computational systems include artificial intelligence, computer systems and networks, security, database systems, human computer interaction, vision and graphics, numerical analysis, programming languages, software engineering, bioinformatics and theories of computing.

    • Liverpool john moores university

      2022 - 2023
      Master of science - ms data science a

      Activities and Societies: Composed thesis applying GANs to generate synthetic text data and fine-tuning BERT for classification. Optimized WGAN-GP model to produce high-quality artificial sentences across domains. Set new benchmarks in sentiment analysis, topic labeling, and document categorization by retraining Transformer encoders, demonstrating state-of-the-art from transfer learning. Thesis contributes NLP techniques for advanced discriminative and generative text modeling.

    • International institute of information technology – bangalore

      2018 - 2019
      Pgd data science a

      Completed intensive postgraduate certification in data science, attaining proficiency in statistical analysis, mathematical modeling, and machine learning techniques including regression, random forests, SVM, K-means clustering, dimensionality reduction, and neural network algorithms such as CNNs, RNNs, LSTMs, reinforcement learning, and transfer learning. Coursework and projects focused on hands-on Python coding skills for data preparation, feature engineering, model evaluation, and… Show more Completed intensive postgraduate certification in data science, attaining proficiency in statistical analysis, mathematical modeling, and machine learning techniques including regression, random forests, SVM, K-means clustering, dimensionality reduction, and neural network algorithms such as CNNs, RNNs, LSTMs, reinforcement learning, and transfer learning. Coursework and projects focused on hands-on Python coding skills for data preparation, feature engineering, model evaluation, and communicating data insights. Developed acumen as an AI/ML expert skilled in leveraging Python's latest libraries and frameworks like PyTorch, TensorFlow and Keras to construct optimized deep learning systems aimed at image recognition, NLP, predictive analytics, and other complex data tasks. Show less

  • Experience

    • Sony electronics

      Sept 2011 - May 2012
      Technical analyst

      Worked on resolving several SRs (Service request), i.e investigation of bugs. Finding out the bug root cause; which requires analysis of problem, requirement, architecture, data flow, algorithm and data structure.

    • Eucentrik solutions pvt ltd

      Jul 2012 - Jul 2013
      Software engineer

      • Understanding and analyzing project requirements and translating it into specifications and programming deliverables• Working closely with analysts, designers and clients to enhance existing applications as well as build new applications.• Testing and debugging the product in controlled, real situations• Maintaining the systems and updating as per requirements

    • Pantheon inc

      Nov 2013 - Oct 2015
      Software engineer

      • Analyzes software requirements to define feasibility of design within time cost constraints.• POC for Task agent development.• JSF custom component design for Odyssey Automationplatform.• development and implementation of Odyssey digital automation for IT and business organizations in fortune 500 clients.• Peers code review, Develops directs software system, testing procedures, programming, and the documentation of task agents• Development and implementation of ITAM solution to plan, request, procure, receive, manage and retire of the in-house IT equipment• Development and implementation of in-house recruitment management solution for the HR team Show less

    • Eucentrik solutions pvt ltd

      Oct 2015 - Sept 2019

      • Developed Recommendation Engine and Trend prediction for Centralized logging system(ELK). Achieving 90% resolve an infrastructure error.• Developed and implemented Java/Python code to handle unstructured data to structured data for Analytics engine.• Work and implemented text classifier for spam filtering and sentiment analysis using Naïve Bayes, SVM, and Python.• Hard Drive Failure Prediction Using Classification and Regression Trees.• Developed and implemented RevealIT Analytics for troubleshooting and filling the ITAM Gaps, resulting in 85% discovery of assets.• Developed Analytics solution to provide the score to discovery source based on attributes, this helps in identifying the performance of discovery tools for a better decision.• Utilize web scraping techniques to extract the data from various source, transform that data to a structured format for Sentiment Analysis of user comments.• Developed and implemented the Normalization Engine for normalizing the text to standardize/classify the data.• Development and implementation Analytics recommendation engine for log analysis, discovery gap and software license utilization.• Worked on developing the RevealIT Log Analytics solution using ELK for providing visibility into the gaps in Microfocus uCMDB to aid with quick troubleshooting issues and resolving them quickly• Using Statistical and exploratory data analytics for analysis and decision making support for finance company on loan approvals based on applicants’ credit history, profile and probability of loan repayment.• Ensuring evaluation of data quality and addressing issues in data quality using Predictive Analytics and ensuring the desired output using PCA and K-means.• Data modeling using advance regressions like Ridge regressions and Lasso regression• MNIST digit recognition using SVM.• House price prediction using advance regression Show less • HPE/Micro Focus uCMDB integration with JAMF pro to pull the discovery data• Designed and developed various new add-on modules to extend the functionality of HP UCMDB, ServiceNow and Flexera.• Worked on developing the Flexera Normalize and MF UD Integration for hardware & software data normalization.• Flexera Data platform implementation in three different environments to normalize the software/ hardware data.• Development and implantation of the uCMDB custom module to find out the software installation date for discovered software.• Development and implementation of the uCMDB custom module to find out the last login user details, to help the Asset Management team to find out the missing assets.• Development and implementation of the uCMDB custom module to control the scanner execution to reduce the I/O of the virtual environment.• Connect-IT scenario to pull/push data between different HPE/Micro Focus tools.• Implementation of UCMDB across a very diverse estate.• Heavily tailored integrations to HPE AM, Service-now, HPE Service anywhere, and other third-party tools.• Custom Java and Jython adapter development• Creating of uCMDB Integration Push, Federation and Population Job for Integration with SM and OMI.• Modeling the uCMDB toolset not limited to the setup of Credential protocols (WMI, SNMP, SSH etc), setup of Data Flow Probes using IP address ranges in DFM, Error reporting, Investigation & Resolution.• Developed and maintained Enterprise-wide discovery Jobs for Infrastructure and Network discovery.• Working with the vendor (HPE/Service-Now/Flexera/MicroFocus) in the resolution of problems related to enterprise discovery. Show less

      • Software Analytics Consultant

        Sept 2017 - Sept 2019

      • Software Development Consultant

        Oct 2015 - Aug 2017

    • Micro focus (formerly hp / hewlett packard enterprise)

      Sept 2019 - Jan 2020
      Analytics consultant iii

      • An AI OPs solution which scans entire enterprise alerts and detects potential outages in advance to teams so they can be prevented. Avoided 20 + severity one impact incidents using this tool.• Deployed PySpark code for IT Operations event Analytics analysis across known and unknown data, filters out noise determines relevant clusters and analyzes text to identify abnormal behavior.• Deployed ELK based solutions for Microfocus products to Collect, search, and index millions of data fields in real-time for analytics and stakeholders reporting. Show less

    • Societe generale

      Jan 2020 - now

      • An AI solution to extract the data points from broker trade confirmation/margin call and can be utilizing in downstream system to check consistency. Total benefits of 200K Euro to 1 MN.• A ML solution to extract almost 100 data points from various master and collateral agreements (VSA/ISA/GMRA/GMSLA) which are required for on-boarding new clients. Total benefits of 2 FT.• A ML solution to assist the legal team to check NDA detects legal clause and make recommendation according to SG internal policy. Total benefits of 200K Euro Show less

      • Lead Data Scientist - Global Banking and Investor Solutions

        May 2022 - now

      • Data Scientist

        Jan 2020 - May 2022

  • Licenses & Certifications

    • Natural language processing with classification and vector spaces

      Coursera
      Sept 2020
      View certificate certificate

    • Certified application developer

      Servicenow
      Aug 2019

    • Itil 4 foundation

      Axelos global best practice

    • Accredited systems engineer - advanced ucmdb v10

      Micro focus
      Oct 2019

    • Sun certified java developer (scjd)

      Oracle
      Feb 2012