Data Analyst Financial

Lidiya Maltseva

New York City, New York, ***** Cellphone: 757-***-**** adls8a@r.postjobfree.com https://www.linkedin.com/in/lidiya-maltseva/ https://github.com/maltseva88 CAREER SUMMARY

A Financial Analyst with proven technical and leadership aptitude in data analysis, data visualization, and programming. History of successful 6+ years career in the financial service firm on Wall Street. At the moment, I am working for a tech-marketing company doing data painting and storytelling through data. Find great satisfaction in collaborating with hard-working, ambitious teams who thrive on building a sound business and want to be a solution in changing humanity.

TECHNICAL SKILLS

Financial Modeling, Statistical Analysis and Modeling, Market Research, Datasets, GitHub, Python, Pandas, APIs, SciPy, VS Code, Statistics, Slack, SQL, Numpy, Data Visualization, Data Science, Tableau, MS Office, Google Data Studio, Google Sheets, Postman, Machine Learning Applications in Finance: Keras, AWS, SageMaker, Scikit-learn, Support Vector Machine, and Linear

& Logistic Regressions, Blockchain & Cryptocurrency: Solidity, Etheruim, Smart Contract, Consensus Algo, Distributed Ledger, Truffle Suite.

PROJECTS

NYC Restaurant Analysis Link to Github (https://github.com/natyrrr/NYC-Restaurant-Analysis)

● Research projects of New York Restaurant Industry pre-COVID and post-COVID quantifying and identifying the socio-economic effect of the pandemic on the eatery industry in different zip codes using public API data;

● Tools: Python, Pandas, Pyviz, SQL, API, Data Visualization Amazon Web Services: Robo Adviser Link to Github (https://github.com/maltseva88/Amazon-Web-Services)

● Create a financial adviser to give you retirement investment recommendations based on what the financial risk you would like to undertake;

● Tools: Python, Amazon Lex / Lambda, JSON format files. Times Series Analysis Link to Github (https://github.com/maltseva88/Times-Series-Analysis)

● Tested the time-series tools in order to predict future movements in the value of the Japanese yen versus the USD;

● Tools: Python, GARCH/ ARIMA models, sklearn, Pandas, JupyterLab. PROFESSIONAL EXPERIENCE

Millennium Web, NY (https://www.millenniumweb.com) (03/2021 - 04/2021) Data Analyst, hired for a fintech project, for an Investment Bank Client

● Assist the team in generating refined qualitative and quantitative data (using Python/Excel) to write a discovery report;

● Collaborate with the UX team to define methods and identify patterns/themes in feedback, overall and by segment;

● Build dashboard with data visuals (HvPlot, Plotly, Pandas) for select data sets and report-ready summarise;

● Build a Tone Analyzer, in Python, for sentiment analysis of qualitative data; Credit Suisse (CS), New York City, NY (www.credit-suisse.com) (01/2017 - 05/2019) Assistant Vice President, Investment Banking and Capital Markets Department, Investment Banking Committee (IBC) Financing and Advisory

● In charge of 1300+ transaction pipeline per year from the US, LatAm, Europe, and Asian, working 14-16h days to ensure all time-sensitive truncations were approved within tight deadlines and data inputted to databases and data systems for the department;

● Prepared agendas, analytical reports, presentations, and dashboards for chairmen and members of the committees visualizing statistical data on the committee performance and insights;

● Created a global framework, operational procedures, and database for the group to streamline workflow and institutionalize the group’s operational policy and procedures to comply with audit regulations;

● Ran an operations and managed work of four IBC staff processing and granting approvals of multimillion-dollar transactions (debt, equity, and private placements) prior to launch to meet deadlines; Credit Suisse (CS), New York City, NY (www.credit-suisse.com) (11/2013 - 12/2016) Data Analyst (Analyst), Investment Banking and Capital Markets (IBCM), IBC

● Provided and presented data analysis and key performance indicators on weekly basis about the group operations for the use by strategic management (APAC, EMEA, US IBC Chairmen);

● Developed management skills while overseeing an IBC Rotational Banking initiative educating junior bankers from different industry groups on IBC rules and regulations (trained 12 bankers/year, whom I educated, guided, and managed) to help my team sustain the management of a transaction pipeline;

● Acted as a secretary on 500+ IBC-F meetings every year for debt and equity transactions, documenting resolutions and changes to the memorandum to gather information on trends and patterns in complex transactions to develop recommendations to be used in training materials.

Credit Suisse (CS), New York City, NY (www.credit-suisse.com) (01/2013 - 11/2013) Full-time Internship, General Counsel Compliance Research and Analytics

● Prepared Financial Intelligence and Investigative Due Diligence research reports to aid AML, Anti-Corruption, and other compliance functions in making appropriate risk assessment decisions regarding the onboarding of prospective clients;

● Assisted manager with operations, drafting, revising, and issuing internal CS policies, including Swap Dealer Manual and Dodd-Frank bill.

VOLUNTEERING

Gabrielle’s Angel Foundation for Cancer Research, New York City, NY (03/2019 - Present) CurrentCo-Founder (https://gabriellesangels.org/who-we-are/young-professionals-committee/)

● Co-founded a YPC Committee and built a competitive fundraising team of 50 + influencers, millennial philanthropists, and socially conscious young professionals; raised $170,000+ in 7 months for medical research grants;

● Managing, motivating, and influencing 27 hosting committee members who actively engaged in fundraising strategy;

● Built partnerships with CharityBuzz.com, integrated online auction platform, and physical items’ donors to launch real-time online bidding as an alternative way to boost our capital raise (sales) and strategic direction. EDUCATION

Columbia Engineering Fintech Boot Camp, New York, NY (December 2020) Degree Type: Certificate

Multidisciplinary approach to attaining proficiency in financial programming, data analysis, and modern tools in cryptocurrency and blockchain: Machine Learning Application in Finance, Financial Programming, and Engineering, & Cryptography.

Pace University, Lubin School of Business, New York, NY (05/2013) BBA, Major in Finance GPA 3.74 Honors: Magna Cum Laude, Dean’s Lubin Business School Scholarship Perm State University, Business School, Perm, Russia Unfinished BBA degree, International Business.

Manchester Metropolitan University, UK / University of Louisville, KY, US (visiting student)

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