# Parth Maniar > Senior Software Engineer @ Alto Neuroscience Location: San Francisco Bay Area, United States Profile: https://flows.cv/parthmaniar Hello, I’m Parth Maniar – a data enthusiast and innovative Software Engineer with a passion for transforming complex data into actionable insights. At Alto Neuroscience, I combine data engineering and software development to build robust data pipelines, integrate diverse data streams—from clinical records to imaging data—and develop cutting-edge solutions using AWS, large language models, and interactive dashboards. My background spans predictive analytics, automation, and data modeling, which empowers me to drive innovation and elevate decision-making in healthcare. With expertise in programming languages like Python, R, JavaScript, SQL, and Bash, I am well-versed in handling databases and tools such as MySQL, Big Query, MongoDB, AWS, GCP, Jupyter Notebook, Tableau, and more. Additionally, I have practical experience in various Data Science technologies, including Machine Learning, ETL, EDA, statistics, time series, regression, A/B testing, and more. If you have any questions or would like to discuss anything related to Data Science, technology, or any other topic, feel free to contact me at officialparthmaniar@gmail.com. You can also explore my portfolio at parthmaniar.tech to learn more about my projects and expertise. Looking forward to connecting with you! ## Work Experience ### Senior Software Engineer @ Alto Neuroscience Jan 2025 – Present | Mountain View, California, United States ### Software Engineer @ Alto Neuroscience Jan 2023 – Jan 2025 | San Francisco Bay Area ### Data Scientist @ The Research Foundation for SUNY Jan 2023 – Jan 2023 - Leveraged LLMs to develop customized natural language processing (NLP) solutions, resulting in a 40% reduction in data analysis time and improved accuracy in extracting key information. - Implemented t-SNE and PCA on complex chemical datasets, resulting in a 30% reduction in feature space while retaining 95% of the variance, enabling faster and more efficient data processing. - Developed an intuitive data visualization tool using React, Python RESTful APIs that allowed non-technical stakeholders to interact with t-SNE and PCA outputs, leading to a more informed decision-making process. ### Data Analyst @ IQVIA Jan 2022 – Jan 2022 | Durham, North Carolina, United States - Conducted statistical analysis on clinical data, pinpointing factors for patient scheduling success and optimizing resource allocation. - Compiled and mined various data sources, leading team efforts to enhance predictive model accuracy by 20%. - Developed and maintained interactive Spotfire dashboards that visualized critical business metrics for executive decision-making, resulting in an average weekly time savings of 2 hours. - Enhanced SQL queries, increasing productivity by 40% for faster data retrieval and heightened analysis efficiency. - Collaborated to design & implement microservices-based pipeline, cutting ETL time by 30% and enhancing data accuracy. - Led the optimization of data storage, reducing data processing time by 25% & enhancing operational efficiency. ### Data Scientist @ TATA Power Jan 2020 – Jan 2021 | Mumbai, Maharashtra, India - Developed weather-based load forecasting models using neural networks, achieving 87% accuracy, and optimizing energy planning. - Managed huge datasets with MongoDB (NoSQL), improving query performance by 40% for efficient data processing. - Implemented "human in the loop" approach, reducing forecasting errors by 15% and enhancing decision-making. - Designed robust APIs for model integration, resulting in a 20% improvement in scalability & providing user-friendly access to system. - Automated model training, deployment using Apache Airflow, and collaborated cross-functionally to deliver impactful data solutions. ### Founder @ Unified System for Agriculture Prediction using AI Jan 2020 – Jan 2021 | Mumbai, Maharashtra, India Developed a unified system for agriculture prediction using AI 📈which would predict the crop yield based on district weather and prices of the crops🎋 based on predicted demand, consumption and warehousing - Designed & developed AI platform using ML algorithms for real-time crop yield prediction, including weather patterns, soil quality, and historical crop performance, resulting in an 85% accuracy in yield predictions. - Implemented district-specific predictions, aiding targeted resource allocation & contributing to 15% boost in local agricultural yield. - Designed & implemented a scalable architecture using cloud services, enabling real-time data processing & analysis for a range of crops. ### Software Consultant @ V R Tax Consultants Jan 2020 – Jan 2020 | Mumbai, Maharashtra, India • Developed RPA Tool for bulk generating of XML files along with draft copy in PDF format required for generating certificates in line with the requirements of utility as provided by the Ministry of Finance (Income Tax Act). • Developed a tool for bulk downloading of PDF files from the income tax website. • Developed a tool for updating UDIN details on the income tax website and also printing the same in PDF files. • Developed an automated tool for verifying PAN details from the income tax website. ### Data Engineering Lead @ Enrich Technology Jan 2020 – Jan 2020 | Mumbai, Maharashtra, India Worked on the project titled “QuaranTime App” using Expo and NodeJS. This was developed amidst this global pandemic and aims to help the people globally. The application is an One - Stop solution for managing the entire corona cycle of a suspected citizen from monitoring the Quarantine till the recovery with Medical Assistance and it uses face recognition and geo fencing. ### Blockchain Intern @ Enrich Technology Jan 2020 – Jan 2020 | Mumbai, Maharashtra, India Worked on the project titled “BlockChain Asset Management” using BigChainDB, Angular and NodeJS. It is a web based application to maintain and track assets throughout its lifecycle. ### Full Stack Intern @ Enrich Technology Jan 2019 – Jan 2020 | Mumbai, Maharashtra Worked on the project titled “Complaint Management System” using Angular, React Native and MongoDB. It provides a mobile application as well as a web application. It is an intricate system designed that comprises 4 user roles and maintains the whole complaint lifecycle. ### Software Engineer (ML) @ India Meteorological Department Jan 2019 – Jan 2020 | Mumbai, Maharashtra, India - Spearheaded the development of a cutting-edge weather forecasting system by integrating machine learning algorithms and historical meteorological data, resulting in a 20% improvement in forecast accuracy over existing models. - Leveraged data preprocessing to clean & optimize extensive weather data, cutting anomalies by 40% & improving forecast reliability. ### Software Engineer @ NxtGen Infinite Datacenter Jan 2019 – Jan 2019 | Mumbai, Maharashtra - Created a AI enabled web-based app called ‘Multiverse SSO’ with features like Face Authentication and Liveness Detection. - Merged with KeyCloak for corporate employee access control and solved authentication issues by integrating 18 apps. ### Summer Intern @ NxtGen Infinite Datacenter Jan 2019 – Jan 2019 | Mumbai Area, India - Built automated service provisioning manager using cloud technologies - Worked on OpenStack, Ansible, and Heat API to automate cloud provisioning processes, migration on multi nodes - Created cookbooks on Chef to set up, configure, deploy, and manage servers and applications - Worked on BI Tools like Pentaho and Hadoop to efficiently store, process, and visualize large datasets ### Micro Entrepreneur @ Studysid Jan 2017 – Jan 2018 | Mumbai Area, India ### Social Media Marketing @ LUDIFU (Let Us Do It For U) Jan 2017 – Jan 2017 | Mumbai Area, India ## Education ### Master of Science - MS in Engineering Sciences: Data Science University at Buffalo ### Bachelor of Engineering - BE in Information Technology University of Mumbai ### HSC in Science JAI HIND COLLEGE, MUMBAI ### FYJC in Science Wilson College Chowpatty Mumbai 400 007 ### ICSE in School G.D. Somani Memorial School ## Contact & Social - LinkedIn: https://linkedin.com/in/parthdmaniar - Portfolio: https://parthmaniar.tech --- Source: https://flows.cv/parthmaniar JSON Resume: https://flows.cv/parthmaniar/resume.json Last updated: 2026-03-31