Anil Bhatta, Phd Email & Phone Number
@pracs.com
2 phones found area 701
LinkedIn matched
Who is Anil Bhatta, Phd? Overview
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Anil Bhatta, Phd is listed as Manager | Strategy & Analytics | Regulatory Science | Machine Learning and NLP at Deloitte, a with 295722 employees, based in Washington Dc-Baltimore Area, United States. AeroLeads shows a work email signal at pracs.com, phone signal with area code 701, and a matched LinkedIn profile for Anil Bhatta, Phd.
Anil Bhatta, Phd previously worked as Manager at Deloitte and Senior Data Scientist at Deloitte. Anil Bhatta, Phd holds Postdoctoral Fellowship, Cardiovascular Biology And Tisue Engineering from The Johns Hopkins University School Of Medicine.
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About Anil Bhatta, Phd
I am a Strategy and Data Science Manager at Deloitte Consulting, supporting firm’s engagement with U.S Food and Drug Administration (FDA) and other federal health agencies. By training, I am a Biomedical Scientist with a PhD in Pharmacology. I completed my postdoctoral fellowship at Johns Hopkins University School of Medicine where I successfully led the development of a biomimetic human pulmonary arteriole (patent pending), leveraging our understanding of cardiovascular biology and material science/engineering. In 2018, I made a career switch into Data Science and have been working at the intersection of life science, technology and strategy.
Listed skills include Molecular Biology, Pharmacology, Western Blotting, Elisa, and 25 others.
Anil Bhatta, Phd's current company
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Anil Bhatta, Phd work experience
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Senior Data Scientist
• Lead cross-team clinical and scientific evaluation, automation, and data accuracy assurance across three workstreams• Conduct scientific discussions with oncology subject matter experts (SMEs) to create a body of evidence to substantiate updates to drug labeling• Lead development of key deliverable reports, coordinating with SMEs and members of team to collect information and respond to stakeholder requests • Collaborate with SME Oncologists through the development of labeling updates to include certain off-label uses as indications for specified oncology generics• Lead comprehensive review of safety data from published literature, after assisting with evaluation of literature for quality, and populated safety data per regulations required by the FDA• Lead knowledge management techniques and algorithm designs to apply Natural Language Processing, Machine Learning and Text Mining analytics to clinical/scientific data• Mine publicly available scientific literature to classify whether that literature is relevant, using Natural Language Processing (NLP) and machine learning, and extract keywords and relevant information from the study• Create efficiencies in project’s set of repeatable processes, by more quickly evaluating a broader scope of literature for relevant material and automatically extracting relevant keywords and other information for review• Operate as a scientific lead to ensure clinical evidence has been identified, prioritized, evaluated, and documented; assists across off-label use leads to help address data deficiencies and challenges• Support process improvement activities and other related activities as deemed appropriate and as time and resources permit
Associate Data Scientist
• Contributed as a member of the core group of Data Science team (Python, SQL, Tableau)• Regularly published results in the form of business memorandum across various online platforms• Led the project for 2019 Indian Election forecast in collaboration with Oxford University for forecasting• Co-led a project to successfully build Risk Management Dashboard for a strategy consulting client• Led projects on sample-size optimization, class imbalance, hyperparameter optimization, data validation etc.• Engaged with clients to define business requirements and attended client pitch as subject matter expertise• Supervised two interns, designed their projects, and assisted them in meeting their internship goals
Postdoctoral Fellow
• Primary researcher on a team of multidisciplinary scientists from Johns Hopkins School of Medicine and School of Engineering• Successfully engineered a biomimetic human arteriole using state of the art technologies in engineering and vascular biology• Submitted a patent to the USPTO in October 2017 for the design and development of human biomimetic blood vessel• Performed Data analysis using Python and GraphPad Prism on cellular image as well as numerical data• Successfully published 4 peer-reviewed research publications in high impact journals• Mentored undergraduates, PhD students and postdoctoral fellows in the lab• Finished first place in Johns Hopkins University ACCM Research Day 2017 Poster Competition
Graduate Research Assistant
• PhD dissertation: Role of arginase in cardiovascular disease. First novel evidence that inhibiting arginase pharmacologically or genetically reduces cardiovascular burden of obesity-related type 2 diabetes.• Used Microsoft Python, Excel and Graphpad Prism to analyze numerical data from cellular and animal studies• Utilized linear regression model to make inference on several biological quantifications• Successfully published 7 research articles in high impact scientific journals, four as first author.• Mentored two International research scholars (a MD and a PhD). Co-‐authored one of their publications.
Medical Writer
• Coordinated and drafted integrated clinical study reports for clients before regulatory submission to the FDA • Provided clients with technical writing, reviewing, and editing services and maintained business relationships• Provide constructive feedback to investigators to improve clarity, logic, and persuasiveness of clinical report• Provide medical advice/expertise across many therapeutic areas (internally and externally) and quickly develop expertise in new therapeutic areas• Develop detailed timelines for document development in line with team and company goals and procedures
Lab Assistant
● Duties involved processing sample processing, labeling tubes, documentation, inventory etc.
Colleagues at Deloitte
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Anupama Vemparala
Colleague at DeloitteBengaluru, Karnataka, India
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Reda El Fanoui
Colleague at DeloitteRabat, Rabat-Salé-Kénitra, Morocco
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Nomsa Nyandoro
Colleague at DeloitteZimbabwe
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Irene Quesada Cruz
Colleague at DeloitteSpain
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Abhinav Kumar
Colleague at DeloittePune, Maharashtra, India
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Rachelle Del Rosario
Colleague at DeloitteNetherlands
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Baruch Naim
Colleague at DeloitteKiryat Ono, Tel Aviv District, Israel
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Kseniia Kmets
Colleague at DeloitteGreater Troyes Area, France
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Sarah Echols Allred
Colleague at DeloitteCollierville, Tennessee, United States
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Jessica Tolosa Baides
Colleague at DeloitteSpain
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Anil Bhatta, Phd education
Postdoctoral Fellowship, Cardiovascular Biology And Tisue Engineering
Doctor Of Philosophy (Ph.D.), Pharmacology
Bachelor Of Arts (B.A.), Biology And Chemistry, Magma Cum Laude
Frequently asked questions about Anil Bhatta, Phd
Quick answers generated from the profile data available on this page.
What company does Anil Bhatta, Phd work for?
Anil Bhatta, Phd works for Deloitte.
What is Anil Bhatta, Phd's role at Deloitte?
Anil Bhatta, Phd is listed as Manager | Strategy & Analytics | Regulatory Science | Machine Learning and NLP at Deloitte.
What is Anil Bhatta, Phd's email address?
AeroLeads has found 1 work email signal at @pracs.com for Anil Bhatta, Phd at Deloitte.
What is Anil Bhatta, Phd's phone number?
AeroLeads has found 2 phone signal(s) with area code 701 for Anil Bhatta, Phd at Deloitte.
Where is Anil Bhatta, Phd based?
Anil Bhatta, Phd is based in Washington Dc-Baltimore Area, United States while working with Deloitte.
What companies has Anil Bhatta, Phd worked for?
Anil Bhatta, Phd has worked for Deloitte, Øptimus, Johns Hopkins University School Of Medicine, Augusta University, Formerly Medical College Of Georgia, and Cetero Research.
Who are Anil Bhatta, Phd's colleagues at Deloitte?
Anil Bhatta, Phd's colleagues at Deloitte include Anupama Vemparala, Reda El Fanoui, Nomsa Nyandoro, Irene Quesada Cruz, and Abhinav Kumar.
How can I contact Anil Bhatta, Phd?
You can use AeroLeads to view verified contact signals for Anil Bhatta, Phd at Deloitte, including work email, phone, and LinkedIn data when available.
What schools did Anil Bhatta, Phd attend?
Anil Bhatta, Phd holds Postdoctoral Fellowship, Cardiovascular Biology And Tisue Engineering from The Johns Hopkins University School Of Medicine.
What skills is Anil Bhatta, Phd known for?
Anil Bhatta, Phd is listed with skills including Molecular Biology, Pharmacology, Western Blotting, Elisa, Pcr, Statistical Data Analysis, Immunohistochemistry, and Confocal Microscopy.
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