Aparna Manohar Email & Phone Number

Vancouver, British Columbia, Canada

At ThisFish we build seafood traceability software, increasing trust and transparency in the supply chain. Our AI-enabled technology helps customers cut costs in processing seafood, ensures real-time monitoring and control, and helps with traceability and compliance. Leadership - Manage a team of R&D Engineers, data scientists and academic partners to build AI-enabled seafood processing software- Responsible for hiring and performance management- Directly responsible for OKRs and customer outcomes for all data products - Engage with customers to understand needs and continuously evolve roadmaps for data products- Hands-on technical leadership, provide technical guidance and mentorship to the teamTechnical Projects- ETL building and optimization- Statistical Analysis and modeling (ex: yield prediction, drained weight prediction)- Computer Vision (defect detection on Salmon Fillets)- BI product suite

Responsibilities include - - Research and prototypes of solutions using classic ML, Deep Learning and Statistical Methods.- Leading the direction for research based on interaction with business partners- Mentoring and training of junior team members- Conducting ML trainings for the extended software divisionOverview of projects - Handwritten text mining using CNNs, Text Classification, Entity Extraction, Cluster analysis based on RFM features, Data Analyses and presentations to business

First American Financial Corporation is a United States financial services company and is a leading provider of title insurance and settlement services to the real estate and mortgage industries.With this comes copious amounts of real-estate transaction data, ripe to be picked apart and made sense of. The data science work involves, text recognition, parsing, summarising of scanned real-estate documents, finding patterns in real estate transaction to detect possible fraud, relationship mapping of various entities in a real estate transaction to derive customer insights etc.Tools: Python (Scikit, Pandas, Plotting libraries, nltk etc), Cloudera (Hive, Impala), Azure ML

Last mile logistics in India is plagued by challenges such as poor addressing, unmarked neighborhoods, unpredictable infrastructure and many more. We are solving for these problems at Swarasta.As a co-founder, my responsibilities included - Fundraising, team building, setting growth strategies, selling.As the data science lead, I owned the design and development of data products that form the core of the tools we provide our logistics customers. Tools: Python, Pandas, SkLearn, Spark, PySpark, HDP, XGBoost, Keras(Tensor Flow), Android

San Francisco

SimplyInsured is focused on bringing humanness and intelligence to the archaic area of Health Insurance, to "Eliminate fear in Health Insurance".Majority of my work was building recommendation engine for health insurance, working with very unorganized data that required parsing, cleaning and making sense of, so that people could make easier choices when buying health insurance.

San Francisco Bay Area

Saleae is a startup that aims to change the way Electronics Engineers work.Saleae creates beautifully designed Logic Analyzers and polished easy-to-use cross platform software.Here, I built a search algorithm (implemented in C++, Qt, SQLite) that helps engineers search across millions of data samples and quickly jump to the spot they wanted to get to.I architected and implemented the software's piracy protection system.I also kickstarted the complete UI re-design of the software, and built a fully customised desktop software from scratch.

Irving, Tx

I worked on analyzing and finding patterns in the data that was collected from locomotives' on-board systems. The result of the data engineering was an on-board system that would dynamically optimize for fuel and route efficiency.The tool of choice for this job was C++.

Bangalore

 Contributed to design and implementation of Command View Enterprise Storage Array management software. Some notable features worked on are -o Thin Provisioningo Online LUN (Logical Unit) and RAID migrationo Demand allocated snapshotso Large LUNS (Logical Unit)o Enhanced Asynchronous Data Replicationo SSSU Exit Codes feature (Entirely owned, designed and implemented)Skills: C/C++, Develoment for/on windows server

Master'S Degree, Computer Science (Intelligent Systems)

At UTD, I chose to focus on Artificial, Machine Learning & Computer Vision, graduating with a specialization in Intelligent Systems..

B.Tech, Information Technology