Software Developer Internship

• Sep 2023 - Present

Frontend Web Developer

• Feb 2023 - Present

Social entrepreneurship created to develop a smart domestic LPG meter wit IoT technology that will help accelerate affordable access and supply of clean energy for Peruvians and Latin Americans. Social entrepreneurship created to develop a smart domestic LPG meter wit IoT technology that will help accelerate affordable access and supply of clean energy for Peruvians and Latin Americans.

Graduate Research Assistant

• Mar 2023 - Sep 2023

- Study of Eye Fixation During Emotion Recognition - Sustainability research of NYC, analyzing energy consumption and wastes - Study of Eye Fixation During Emotion Recognition - Sustainability research of NYC, analyzing energy consumption and wastes

Data Scientist

• May 2019 - Jul 2022

• Part of the Analytics Center of Excellence (ACoE) team • Active participation in innovation labs to create new products and services • Developing different data extracting algorithms as data input for new models • Developing new ways of profiling clients with the goal of increasing cross products, sales and improving the CX with personalization strategies • Developing a neural network (RNN) to predict a segment of hours during the day that communications can be opened by… Show more • Part of the Analytics Center of Excellence (ACoE) team • Active participation in innovation labs to create new products and services • Developing different data extracting algorithms as data input for new models • Developing new ways of profiling clients with the goal of increasing cross products, sales and improving the CX with personalization strategies • Developing a neural network (RNN) to predict a segment of hours during the day that communications can be opened by clients • Developing text analytics models to improve the marketing communications • Working with a variety of teams developing real time projects with API connections with different cloud platforms • Working as a data product owner in the division, creating different workshops with multiple teams and centralizing new data requests that had to be negotiated with a variety of teams like Data Governance and the research team. • Leading a data scientist team for a graph model project that has the goal to impact various predictive models by increasing their accuracy. Show less • Part of the Analytics Center of Excellence (ACoE) team • Active participation in innovation labs to create new products and services • Developing different data extracting algorithms as data input for new models • Developing new ways of profiling clients with the goal of increasing cross products, sales and improving the CX with personalization strategies • Developing a neural network (RNN) to predict a segment of hours during the day that communications can be opened by… Show more • Part of the Analytics Center of Excellence (ACoE) team • Active participation in innovation labs to create new products and services • Developing different data extracting algorithms as data input for new models • Developing new ways of profiling clients with the goal of increasing cross products, sales and improving the CX with personalization strategies • Developing a neural network (RNN) to predict a segment of hours during the day that communications can be opened by clients • Developing text analytics models to improve the marketing communications • Working with a variety of teams developing real time projects with API connections with different cloud platforms • Working as a data product owner in the division, creating different workshops with multiple teams and centralizing new data requests that had to be negotiated with a variety of teams like Data Governance and the research team. • Leading a data scientist team for a graph model project that has the goal to impact various predictive models by increasing their accuracy. Show less

Data Scientist Intern

• Jan 2019 - Mar 2019

Methods: • Data engineering: data pre-processing, data cleaning, and structuring in: Knime Analytics Platform, Microsoft Excel • Machine learning: linear regression, clustering/segmentation • Automation: Automating processes through internal tool development High level overview: • Partner with different areas around the firm to solve complex business decisions. • Lead workshops for a better understanding of the data in hand. Methods: • Data engineering: data pre-processing, data cleaning, and structuring in: Knime Analytics Platform, Microsoft Excel • Machine learning: linear regression, clustering/segmentation • Automation: Automating processes through internal tool development High level overview: • Partner with different areas around the firm to solve complex business decisions. • Lead workshops for a better understanding of the data in hand.

Corporate Banking Analyst

• Feb 2016 - Sep 2018

• Reached second place in an insurance contest where we had to sell insurances to clients with leases or mortgages. • Reached a 101% in the year-end goal in 2017 and leaving a 110% goal in Sep. 2018, in the client base, considering variables like loan rate and deposit rate efficiency, market share, the use of financial derivatives, currency exchange negotiations and other transactional procedures with the clients. • Utilized historical data as loans, insurances, appraisals and other bank… Show more • Reached second place in an insurance contest where we had to sell insurances to clients with leases or mortgages. • Reached a 101% in the year-end goal in 2017 and leaving a 110% goal in Sep. 2018, in the client base, considering variables like loan rate and deposit rate efficiency, market share, the use of financial derivatives, currency exchange negotiations and other transactional procedures with the clients. • Utilized historical data as loans, insurances, appraisals and other bank products, and detected any kind of risk factors to prevent possible defaults with the clients. • Created new financial report templates using historical data to identify the most important variables to consider when funding a client. • Assisted the executive of the client portfolio in the search of new business opportunities and client meetings, with the objective of gaining insight, search for potential funding while having in consideration the best for our clients. Show less • Reached second place in an insurance contest where we had to sell insurances to clients with leases or mortgages. • Reached a 101% in the year-end goal in 2017 and leaving a 110% goal in Sep. 2018, in the client base, considering variables like loan rate and deposit rate efficiency, market share, the use of financial derivatives, currency exchange negotiations and other transactional procedures with the clients. • Utilized historical data as loans, insurances, appraisals and other bank… Show more • Reached second place in an insurance contest where we had to sell insurances to clients with leases or mortgages. • Reached a 101% in the year-end goal in 2017 and leaving a 110% goal in Sep. 2018, in the client base, considering variables like loan rate and deposit rate efficiency, market share, the use of financial derivatives, currency exchange negotiations and other transactional procedures with the clients. • Utilized historical data as loans, insurances, appraisals and other bank products, and detected any kind of risk factors to prevent possible defaults with the clients. • Created new financial report templates using historical data to identify the most important variables to consider when funding a client. • Assisted the executive of the client portfolio in the search of new business opportunities and client meetings, with the objective of gaining insight, search for potential funding while having in consideration the best for our clients. Show less

Finance Intern

• Jan 2015 - Jan 2016

• Created and analyzed the daily data generated by deposit concentrations. • Traced and created a database about the loans market share of the corporate banking area. • Elaborated the revenue results presentation of the finance area for the CFO, focused in the visualization of results, using different type of graphs. • Traced and analyzed the annual and quarterly covenants of all the debts with other international banks or financial corporations. • Created and analyzed the daily data generated by deposit concentrations. • Traced and created a database about the loans market share of the corporate banking area. • Elaborated the revenue results presentation of the finance area for the CFO, focused in the visualization of results, using different type of graphs. • Traced and analyzed the annual and quarterly covenants of all the debts with other international banks or financial corporations.

Marketing Intern

• Apr 2014 - Oct 2014

• Kept watch and datafication of the newspaper advertising strategies of the direct competitors. • Elaborated the presentation of monthly results to the CMO, focused in the visualization of results, used graphs and the advertising utilized in that month. • Updated the total budget of Plaza Vea (retail company), analyzed the projection expenditures in base of the promotions, brand, events, digital marketing and market research. • Kept watch and datafication of the newspaper advertising strategies of the direct competitors. • Elaborated the presentation of monthly results to the CMO, focused in the visualization of results, used graphs and the advertising utilized in that month. • Updated the total budget of Plaza Vea (retail company), analyzed the projection expenditures in base of the promotions, brand, events, digital marketing and market research.

Lift operator

• Dec 2012 - Apr 2013