Vivek Kantamani
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Vivek Kantamani Email & Phone Number

CIeNET x Google Technical Program Manager - AI Engineering at CIeNET Technologies
Location: New York, United States 9 work roles 1 school
1 work email found @columbia.edu LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 86%

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Current company
Role
CIeNET x Google Technical Program Manager - AI Engineering
Location
New York, United States
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Vivek Kantamani is listed as CIeNET x Google Technical Program Manager - AI Engineering at CIeNET Technologies, a with 728 employees, based in New York, United States. AeroLeads shows a work email signal at columbia.edu and a matched LinkedIn profile for Vivek Kantamani.

Vivek Kantamani previously worked as Software Engineer / Data Scientist at Cienet Technologies and Quantitative Finance Researcher at Department Of Statistics, Columbia University. Vivek Kantamani holds Bachelor Of Arts - Ba, Statistics (Track: Machine Learning, Quantitative Finance), 4.10/4.00 from Columbia University In The City Of New York.

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{first}.{last}@columbia.edu
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About Vivek Kantamani

I am a statistician interested in tackling real-world problems through data science and machine learning projects, with a particular focus on developing data-driven statistical models and machine learning systems to facilitate operational and strategic risk-management decisions in business and quantitative finance.๐ƒ๐š๐ญ๐š ๐’๐œ๐ข๐ž๐ง๐œ๐ž ๐š๐ง๐ ๐Œ๐š๐œ๐ก๐ข๐ง๐ž ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐  ๐„๐ฑ๐ฉ๐ž๐ซ๐ข๐ž๐ง๐œ๐ž:โ€“ Effective at employing inferential statistics procedures to extract insights from data and support business decision-making.โ€“ Proficient in constructing robust machine learning models for efficient monitoring of ML system metrics and KPI reporting. โ€“ Experienced in facilitating data science and collaborative research projects using the Agile project management framework.๐๐ซ๐ข๐ฏ๐š๐ญ๐ž ๐„๐ช๐ฎ๐ข๐ญ๐ฒ ๐„๐ฑ๐ฉ๐ž๐ซ๐ข๐ž๐ง๐œ๐ž:โ€“ Adept at developing inferential and predictive statistical models of valuation metrics (DCF, PEG, EV/EBITDA) and risk-management measures to facilitate private equity objectives through low-latency algorithmic implementations.๐๐ฎ๐š๐ง๐ญ๐ข๐ญ๐š๐ญ๐ข๐ฏ๐ž ๐…๐ข๐ง๐š๐ง๐œ๐ž ๐„๐ฑ๐ฉ๐ž๐ซ๐ข๐ž๐ง๐œ๐ž:โ€“ Effective at building quantitative financial models that derive excess returns from alpha-seeking systematic investment strategies and factor-based portfolio optimization methods while managing risk (VaR, ES) and ESG metrics.๐“๐ž๐œ๐ก๐ง๐ข๐œ๐š๐ฅ ๐’๐ค๐ข๐ฅ๐ฅ๐ฌ:๐๐ซ๐จ๐ ๐ซ๐š๐ฆ๐ฆ๐ข๐ง๐ : Python (NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow), R, Java, SQL๐ƒ๐š๐ญ๐š๐›๐š๐ฌ๐ž๐ฌ/๐“๐จ๐จ๐ฅ๐ฌ: MySQL, SQLite, Git, Tableau, Microsoft Excel๐ƒ๐š๐ญ๐š ๐’๐œ๐ข๐ž๐ง๐œ๐ž: DSA, EDA, Data Mining, Pattern Recognition, Analytics Dashboard Development, KPI Reporting, A/B Testing๐Œ๐š๐œ๐ก๐ข๐ง๐ž ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐ : Statistical Learning Theory, Linear Regression Analysis (GLMs), SVMs, DT/RF, Deep Learning (LSTMs)๐’๐ญ๐š๐ญ๐ข๐ฌ๐ญ๐ข๐œ๐ฌ: Statistical Inference (Bayesian), Causal Inference and Forecasting, Time Series Analysis, Stochastic Processes

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CIeNET Technologies
Cienet Technologies
CIeNET x Google Technical Program Manager - AI Engineering
oak brook, illinois, united states
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9 roles

Vivek Kantamani work experience

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Cienet X Google Technical Program Manager - Ai Engineering

Santa Clara, Ca, Us

Software Engineer / Data Scientist

Santa Clara, California, United States

Quantitative Finance Researcher

New York, New York, United States

Working under Professor Gabriel Young, I designed an inferential framework to quantify the time-dependent effects of scheduled macroeconomic announcements on the mean cumulative returns of financial assets (specified as a time series of cumulative intraday returns, CIDRโ€™s) to facilitate intraday alpha generation and market-making models using local kernel-weighted polynomial smoothing, numerical derivative estimation, and sentiment analysis.I developed a low-latency algorithmic implementation of this inferential technique in Python to enhance tool sets available to finance researchers and improve algorithmic trading services modules by analyzing the impact of specified macroeconomic announcements on selected asset returns, including โ€œpre-FOMC driftโ€, Crude Oil Inventory Change, Nonfarm Payrolls, etc.JEL Classification: G14, G17, C14, C41

Data Science Project Lead

Greater New York City Area

As a part of a Data Science Institute (DSI) Scholars Program โ€œData for Goodโ€ project, I led a team of researchers in coordination with sociological research teams from the Fundaciรณn por la Educaciรณn Multidimensional (FEM) in Colombia to orchestrate projects ensuring land access and legal representation to underrepresented indigenous groups in Colombia.I implemented new frameworks in SQLite for source-to-target mapping of data collection and analysis procedures used in socioeconomic census surveys of rural indigenous communities. I utilized GMM (k-means) and DBSCAN spatial search algorithms in Python and visualizations using Tableau to demonstrate inaccuracies in government designation of public land tracts and to identify communities requiring support from local nonprofit partners.I developed a project proposal for a GIS mapping project of Colombian titled public land to facilitate FEMโ€™s goal of connecting local communities with the technical and legal resources to protect their cultural lands and territories.

Mar 2019 - Oct 2020

Healthcare Analytics Consultant

West Houston Primary Care Associates

Houston, Tx

I was responsible for implementing a new electronic health record strategy for this medical office. While managing medical coding, billing, and claim submission to insurance companies to ensure proper claim processing, I oversaw the cloud migration of electronic health record systems and practice management systems for effective revenue cycle management.I implemented CPT audits of the coding and claim submission cycle to validate billing operations using the Agile project management framework, increasing revenue by 17%, and reducing billing time by 23%. I evaluated metrics of patient treatment and health outcomes in EHR systems alongside ICD-10 billing data to track KPIs and generate a data warehouse in MySQL for improvement of continuity of care indices.

Sep 2016 - Dec 2018

Medical Preceptorship

Dallas, Tx

I performed patient physicals and took patient histories under physician supervision in a variety of specialties including dermatology, internal medicine, and pediatrics. I created scripts in Python 3 to analyze medical literature (from ISI Proceedings, JSTOR, and MEDLINE) in order to expedite case presentation research, and to use as a cross reference with collected patient data from progress notes for clinical studies.

Jun 2014 - May 2016

Research Associate

Dallas, Tx

Benjamin Chen Molecular Radiation Biology LabI performed irradiation assays and immunohistochemistry on treated cells to evaluate impact of RNAi pathways on DNA double strand break repair in cancer development of head and neck squamous cell carcinoma (HNSCC).

May 2015 - Nov 2015

Research Associate

Dallas, Texas, United States

Kroener Cellular and Synaptic Physiology LabI studied the effects of alcohol addiction on glutamatergic synaptic transmission and NMDA receptors in the pre-frontal cortex by performing stereotactic surgical procedures on rats to target pharmacological drug delivery mechanisms in the ventral tegmental area (VTA) of the brain.I evaluated the interplay between back propagating action potentials and localized calcium spikes required for synaptic plasticity by performing immunohistochemistry assays on rat pre-frontal cortex and ventral tegmental area neurons after brain slicing.

May 2014 - May 2015

Research Associate

Stanford, Ca

Rabinovitch/Bland Laboratory for Cardiopulmonary ResearchI performed immunofluorescence assays, comet assays, and live animal trials to establish perturbed DNA transcription factor activity as part of a molecular pathway that leads to the developmental and inflammatory mechanisms of pulmonary arterial hypertension. I designed a comet assay protocol to standardize statistical analysis for consistent data visualization and interpretation.I co-authored a peer-reviewed publication in Cell Reports:Li, Caiyun G, et al. โ€œPPARฮณ Interaction with UBR5/ATMIN Promotes DNA Repair to Maintain Endothelial Homeostasis.โ€ Cell Reports, Vol 26. 29 Jan, 2019. PMID: 30699358.

Jun 2012 - Aug 2013
Team & coworkers

Colleagues at CIeNET Technologies

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1 education record

Vivek Kantamani education

FAQ

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What company does Vivek Kantamani work for?

Vivek Kantamani works for CIeNET Technologies.

What is Vivek Kantamani's role at CIeNET Technologies?

Vivek Kantamani is listed as CIeNET x Google Technical Program Manager - AI Engineering at CIeNET Technologies.

What is Vivek Kantamani's email address?

AeroLeads has found 1 work email signal at @columbia.edu for Vivek Kantamani at CIeNET Technologies.

Where is Vivek Kantamani based?

Vivek Kantamani is based in New York, United States while working with CIeNET Technologies.

What companies has Vivek Kantamani worked for?

Vivek Kantamani has worked for Cienet Technologies, Department Of Statistics, Columbia University, Data Science Institute, Columbia University, West Houston Primary Care Associates, and Ut Southwestern Medical Center.

Who are Vivek Kantamani's colleagues at CIeNET Technologies?

Vivek Kantamani's colleagues at CIeNET Technologies include Xing Chen, Tang Ce, Levi Yang, Kin Wang Lao, and Chunmei Cai.

How can I contact Vivek Kantamani?

You can use AeroLeads to view verified contact signals for Vivek Kantamani at CIeNET Technologies, including work email, phone, and LinkedIn data when available.

What schools did Vivek Kantamani attend?

Vivek Kantamani holds Bachelor Of Arts - Ba, Statistics (Track: Machine Learning, Quantitative Finance), 4.10/4.00 from Columbia University In The City Of New York.

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